[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-plugin-NeoLabHQ-fpf-zh-CN":3,"guides-for-NeoLabHQ-fpf":1265,"similar-k170dd9j7raacsjs3ta67k8cw986m50s-zh-CN":1266},{"_creationTime":4,"_id":5,"children":6,"community":155,"display":156,"evaluation":160,"identity":407,"isFallback":390,"parentExtension":410,"providers":441,"relations":446,"repo":447,"tags":1263,"workflow":1264},1778694480889.9475,"k170dd9j7raacsjs3ta67k8cw986m50s",[7,45,70,92,114,135],{"_creationTime":8,"_id":9,"community":10,"display":12,"identity":18,"providers":24,"relations":39,"tags":41,"workflow":42},1778694480889.9512,"k1716fn6x2a1zs22zxgt3e1a4986mq90",{"reviewCount":11},0,{"description":13,"installMethods":14,"name":16,"sourceUrl":17},"Reconcile the project's FPF state with recent repository changes",{"claudeCode":15},"NeoLabHQ/context-engineering-kit","actualize","https://github.com/NeoLabHQ/context-engineering-kit",{"basePath":19,"githubOwner":20,"githubRepo":21,"locale":22,"slug":16,"type":23},"plugins/fpf/skills/actualize","NeoLabHQ","context-engineering-kit","en","skill",{"evaluate":25,"extract":37},{"promptVersionExtension":26,"promptVersionScoring":27,"score":28,"tags":29,"targetMarket":35,"tier":36},"3.0.0","4.4.0",97,[30,31,32,33,34],"fpf","assurance-case","knowledge-base","git","code-reconciliation","global","verified",{"commitSha":38},"HEAD",{"parentExtensionId":5,"repoId":40},"kd7a3rj13ezgx1wgm0jfh08hsx86n0sz",[31,34,30,33,32],{"evaluatedAt":43,"extractAt":44,"updatedAt":43},1778694951553,1778694480890,{"_creationTime":46,"_id":47,"community":48,"display":49,"identity":53,"providers":55,"relations":66,"tags":67,"workflow":68},1778694480889.9514,"k170c9zd0j7ce40t102naq962186mckm",{"reviewCount":11},{"description":50,"installMethods":51,"name":52,"sourceUrl":17},"Manage evidence freshness by identifying stale decisions and providing governance actions",{"claudeCode":15},"decay",{"basePath":54,"githubOwner":20,"githubRepo":21,"locale":22,"slug":52,"type":23},"plugins/fpf/skills/decay",{"evaluate":56,"extract":65},{"promptVersionExtension":26,"promptVersionScoring":27,"score":57,"tags":58,"targetMarket":35,"tier":64},75,[59,60,61,62,63],"auditing","governance","decision-making","knowledge-management","evidence-decay","flagged",{"commitSha":38},{"parentExtensionId":5,"repoId":40},[59,61,63,60,62],{"evaluatedAt":69,"extractAt":44,"updatedAt":69},1778694971917,{"_creationTime":71,"_id":72,"community":73,"display":74,"identity":78,"providers":80,"relations":88,"tags":89,"workflow":90},1778694480889.9517,"k179wq2eyqfja5n46dky74ndp186m1z5",{"reviewCount":11},{"description":75,"installMethods":76,"name":77,"sourceUrl":17},"Execute complete FPF cycle from hypothesis generation to decision",{"claudeCode":15},"propose-hypotheses",{"basePath":79,"githubOwner":20,"githubRepo":21,"locale":22,"slug":77,"type":23},"plugins/fpf/skills/propose-hypotheses",{"evaluate":81,"extract":87},{"promptVersionExtension":26,"promptVersionScoring":27,"score":82,"tags":83,"targetMarket":35,"tier":36},99,[84,61,85,59,86],"reasoning","framework","hypothesis-generation",{"commitSha":38},{"parentExtensionId":5,"repoId":40},[59,61,85,86,84],{"evaluatedAt":91,"extractAt":44,"updatedAt":91},1778694990680,{"_creationTime":93,"_id":94,"community":95,"display":96,"identity":100,"providers":102,"relations":110,"tags":111,"workflow":112},1778694480889.952,"k17ad3zgwe5qpxk4tze8dtvh4h86mgf4",{"reviewCount":11},{"description":97,"installMethods":98,"name":99,"sourceUrl":17},"Search the FPF knowledge base and display hypothesis details with assurance information",{"claudeCode":15},"query",{"basePath":101,"githubOwner":20,"githubRepo":21,"locale":22,"slug":99,"type":23},"plugins/fpf/skills/query",{"evaluate":103,"extract":109},{"promptVersionExtension":26,"promptVersionScoring":27,"score":104,"tags":105,"targetMarket":35,"tier":36},95,[32,106,107,108,30],"search","hypothesis","auditable-reasoning",{"commitSha":38},{"parentExtensionId":5,"repoId":40},[108,30,107,32,106],{"evaluatedAt":113,"extractAt":44,"updatedAt":113},1778695003668,{"_creationTime":115,"_id":116,"community":117,"display":118,"identity":122,"providers":124,"relations":131,"tags":132,"workflow":133},1778694480889.9521,"k176h2s32n9wwrkspnh3cg9tw586mw65",{"reviewCount":11},{"description":119,"installMethods":120,"name":121,"sourceUrl":17},"Reset the FPF reasoning cycle to start fresh",{"claudeCode":15},"reset",{"basePath":123,"githubOwner":20,"githubRepo":21,"locale":22,"slug":121,"type":23},"plugins/fpf/skills/reset",{"evaluate":125,"extract":130},{"promptVersionExtension":26,"promptVersionScoring":27,"score":82,"tags":126,"targetMarket":35,"tier":36},[30,84,127,128,129],"state-management","workflow","session-management",{"commitSha":38},{"parentExtensionId":5,"repoId":40},[30,84,129,127,128],{"evaluatedAt":134,"extractAt":44,"updatedAt":134},1778695020492,{"_creationTime":136,"_id":137,"community":138,"display":139,"identity":143,"providers":145,"relations":151,"tags":152,"workflow":153},1778694480889.9524,"k17cem4hc58gq77dezte6rz8mx86nkpf",{"reviewCount":11},{"description":140,"installMethods":141,"name":142,"sourceUrl":17},"Display the current state of the FPF knowledge base",{"claudeCode":15},"status",{"basePath":144,"githubOwner":20,"githubRepo":21,"locale":22,"slug":142,"type":23},"plugins/fpf/skills/status",{"evaluate":146,"extract":150},{"promptVersionExtension":26,"promptVersionScoring":27,"score":147,"tags":148,"targetMarket":35,"tier":36},100,[32,142,149,30],"reporting",{"commitSha":38},{"parentExtensionId":5,"repoId":40},[30,32,149,142],{"evaluatedAt":154,"extractAt":44,"updatedAt":154},1778695034738,{"reviewCount":11},{"description":157,"installMethods":158,"name":159,"sourceUrl":17},"First Principles Framework (FPF) for structured reasoning using workflow command pattern. Implements ADI (Abduction-Deduction-Induction) cycle via propose-hypotheses workflow with fpf-agent for hypothesis generation, logical verification, empirical validation, and auditable decision-making. Includes utility commands for status, query, decay, actualize, and reset.",{"claudeCode":30},"First Principles Framework (FPF) Plugin",{"_creationTime":161,"_id":162,"extensionId":5,"locale":22,"result":163,"trustSignals":388,"workflow":405},1778694689213.6963,"kn72tzdjwy1smsy7g8fa68f3an86nkw7",{"checks":164,"evaluatedAt":350,"extensionSummary":351,"features":352,"nonGoals":358,"practices":362,"prerequisites":366,"promptVersionExtension":26,"promptVersionScoring":27,"purpose":367,"rationale":368,"score":369,"summary":370,"tags":371,"targetMarket":35,"tier":373,"useCases":374,"workflow":379},[165,170,173,177,181,184,188,193,196,199,203,207,210,214,217,220,223,226,229,232,236,240,244,248,252,255,258,261,265,268,271,274,277,280,283,287,291,295,298,302,305,308,311,314,317,320,323,326,329,332,336,339,342,346],{"category":166,"check":167,"severity":168,"summary":169},"Practical Utility","Problem relevance","pass","The description clearly names the problem of making AI decision-making transparent and auditable through a structured reasoning framework, directly addressing a core challenge in AI-assisted development.",{"category":166,"check":171,"severity":168,"summary":172},"Unique selling proposition","The plugin implements a novel First Principles Framework (FPF) with a specific ADI cycle and hypothesis-driven approach, going beyond standard LLM capabilities to offer transparent, auditable, and evidence-based decision-making.",{"category":166,"check":174,"severity":175,"summary":176},"Production readiness","warning","The plugin's core functionality, especially its reliance on a large FPF specification (~600k tokens) loaded into a sub-agent with a Sonnet[1m] model, may quickly consume token limits and could hinder practical use in real workflows without careful management.",{"category":178,"check":179,"severity":168,"summary":180},"Scope","Single responsibility principle","The plugin focuses on implementing the First Principles Framework for structured reasoning, with clearly defined commands that all contribute to this core purpose.",{"category":178,"check":182,"severity":168,"summary":183},"Description quality","The displayed description accurately reflects the plugin's purpose, core cycle (ADI), command set, and value proposition of making AI reasoning transparent and auditable.",{"category":185,"check":186,"severity":168,"summary":187},"Invocation","Scoped tools","The plugin exposes a set of well-defined, verb-noun specialist commands (e.g., /propose-hypotheses, /status, /query) that are specific to the FPF workflow.",{"category":189,"check":190,"severity":191,"summary":192},"Documentation","Configuration & parameter reference","not_applicable","The plugin primarily uses natural language arguments for its commands and does not appear to have complex configuration files or parameters with implicit precedence orders to document.",{"category":178,"check":194,"severity":168,"summary":195},"Tool naming","All exposed commands (/propose-hypotheses, /status, /query, /decay, /actualize, /reset) are descriptive and follow a clear verb-noun or verb-prefix pattern relevant to the FPF domain.",{"category":178,"check":197,"severity":168,"summary":198},"Minimal I/O surface","The commands primarily take natural language arguments or operate based on the existing FPF state, and their outputs are structured markdown reports specific to the task, avoiding extraneous data.",{"category":200,"check":201,"severity":168,"summary":202},"License","License usability","The plugin is licensed under the GNU General Public License v3.0, a widely used and permissive open-source license, as indicated by the bundled LICENSE file.",{"category":204,"check":205,"severity":168,"summary":206},"Maintenance","Commit recency","The repository shows recent commits, with the latest push on May 6, 2026, indicating active maintenance.",{"category":204,"check":208,"severity":191,"summary":209},"Dependency Management","The plugin does not appear to use third-party dependencies that would require explicit management beyond what's handled by the Claude Code environment.",{"category":211,"check":212,"severity":191,"summary":213},"Security","Secret Management","The plugin does not appear to handle or expose any secrets, as its operations are self-contained within the FPF workflow and local file system.",{"category":211,"check":215,"severity":168,"summary":216},"Injection","The plugin's design emphasizes treating user input and existing files as data, with specific tasks defining how to process them, and no indication of executing arbitrary code from external sources.",{"category":211,"check":218,"severity":168,"summary":219},"Transitive Supply-Chain Grenades","The plugin bundles its components within the repository and its skills execute local file operations or calls to agents; there are no runtime downloads or remote code execution vectors.",{"category":211,"check":221,"severity":168,"summary":222},"Sandbox Isolation","The plugin operates within the .fpf/ directory and interacts with local files, respecting sandbox boundaries and not attempting to modify system files or external paths.",{"category":211,"check":224,"severity":168,"summary":225},"Sandbox escape primitives","The plugin's scripts and commands focus on managing local files and agent interactions, with no evidence of detached process spawns or retry loops around denied tool calls.",{"category":211,"check":227,"severity":168,"summary":228},"Data Exfiltration","The plugin's operations are confined to local file system management and agent communication within the Claude Code environment, with no outbound network calls for submitting data.",{"category":211,"check":230,"severity":168,"summary":231},"Hidden Text Tricks","The bundled README and skill files appear to be free of hidden text, invisible characters, or other tricks designed to steer the model covertly.",{"category":233,"check":234,"severity":168,"summary":235},"Hooks","Opaque code execution","The plugin's scripts are written in plain bash or markdown for skill definitions and are readable, with no obfuscation, base64 payloads, or runtime code fetching.",{"category":237,"check":238,"severity":168,"summary":239},"Portability","Structural Assumption","The plugin assumes the existence of the .fpf/ directory and its subdirectories, which are created by the plugin itself, and does not rely on external project-specific file layouts.",{"category":241,"check":242,"severity":168,"summary":243},"Trust","Issues Attention","With 6 issues opened and 8 closed in the last 90 days, and a closure rate of approximately 57%, maintainer engagement appears healthy.",{"category":245,"check":246,"severity":168,"summary":247},"Versioning","Release Management","The plugin declares a meaningful version (3.0.0) in its `plugin.json` and the installation instructions reference a specific version tag (`@NeoLabHQ/context-engineering-kit`), enabling version pinning.",{"category":249,"check":250,"severity":168,"summary":251},"Code Execution","Validation","The plugin's commands primarily use natural language arguments and operate on internal FPF state or local files. Input validation is implicitly handled by the agent's understanding and the structured nature of FPF files.",{"category":211,"check":253,"severity":168,"summary":254},"Unguarded Destructive Operations","The plugin primarily performs file operations (create, move, read, write) within its own `.fpf/` directory, and destructive actions like reset have explicit user confirmation steps.",{"category":249,"check":256,"severity":168,"summary":257},"Error Handling","The skill markdown files outline sequential steps and agent interactions, implying that errors would be handled by the agent framework or result in clear failure messages. The use of `|| true` is absent, suggesting fail-closed behavior.",{"category":249,"check":259,"severity":191,"summary":260},"Logging","The plugin's actions are primarily file-based and state management within its own directory; explicit local audit logging is not a stated requirement or feature, and its operations are not inherently destructive or outbound.",{"category":262,"check":263,"severity":191,"summary":264},"Compliance","GDPR","The plugin operates on project context and hypotheses, not personal data, and does not interact with third-party services that would require GDPR considerations.",{"category":262,"check":266,"severity":168,"summary":267},"Target market","The plugin's focus on structured reasoning and decision-making is universally applicable, and there are no regional or jurisdictional signals detected; targetMarket is implicitly global.",{"category":237,"check":269,"severity":168,"summary":270},"Runtime stability","The plugin's commands are designed to run within the Claude Code environment using standard file operations and agent interactions, with no apparent OS-specific dependencies or shell builtins.",{"category":189,"check":272,"severity":168,"summary":273},"README","The README file is comprehensive, clearly explaining the plugin's purpose, methodology (FPF, ADI), commands, workflow, and theoretical foundations.",{"category":178,"check":275,"severity":168,"summary":276},"Tool surface size","The plugin exposes 6 distinct commands, which falls within the recommended range of 3-10 tools.",{"category":185,"check":278,"severity":168,"summary":279},"Overlapping near-synonym tools","Each command (/propose-hypotheses, /status, /query, /decay, /actualize, /reset) has a distinct function within the FPF workflow, avoiding name collisions or redundancies.",{"category":189,"check":281,"severity":168,"summary":282},"Phantom features","All advertised features and commands are implemented and described in the README and corresponding skill files.",{"category":284,"check":285,"severity":168,"summary":286},"Install","Installation instruction","The README provides clear installation instructions with a copy-pasteable command and example usage for starting a decision process.",{"category":288,"check":289,"severity":168,"summary":290},"Errors","Actionable error messages","The skill definitions and command descriptions imply that errors would be surfaced by the agent framework, providing clear feedback on failures and suggesting next steps (e.g., run status, decay).",{"category":292,"check":293,"severity":191,"summary":294},"Execution","Pinned dependencies","The plugin does not use third-party dependencies that require explicit pinning or lockfiles.",{"category":178,"check":296,"severity":191,"summary":297},"Dry-run preview","The plugin's primary actions involve file management and agent coordination, which are not state-changing operations requiring a dry-run mode in the traditional sense.",{"category":299,"check":300,"severity":191,"summary":301},"Protocol","Idempotent retry & timeouts","The plugin's operations are primarily local file system actions and agent interactions, which do not involve remote calls or state-changing mutations that would necessitate idempotency or hard timeouts.",{"category":262,"check":303,"severity":168,"summary":304},"Telemetry opt-in","There is no indication of telemetry collection; the plugin's operations are local and focused on the FPF workflow, with no outbound network calls.",{"category":185,"check":306,"severity":168,"summary":307},"Name collisions","All bundled commands (/propose-hypotheses, /status, /query, /decay, /actualize, /reset) have distinct names and purposes within the FPF framework, avoiding collisions with built-ins or other commands.",{"category":185,"check":309,"severity":191,"summary":310},"Hooks-off mechanism","The plugin does not appear to utilize hooks that would require a specific hooks-off mechanism.",{"category":185,"check":312,"severity":191,"summary":313},"Hook matcher tightness","The plugin does not expose or use any hooks that require specific matchers.",{"category":211,"check":315,"severity":191,"summary":316},"Hook security","The plugin does not appear to use hooks that would require security gating.",{"category":233,"check":318,"severity":191,"summary":319},"Silent prompt rewriting","The plugin does not implement any UserPromptSubmit hooks that would modify prompts.",{"category":211,"check":321,"severity":191,"summary":322},"Permission Hook","The plugin does not implement any PermissionRequest hooks.",{"category":262,"check":324,"severity":191,"summary":325},"Hook privacy","The plugin does not use hooks for logging or telemetry that would send data over the network.",{"category":249,"check":327,"severity":191,"summary":328},"Hook dependency","The plugin does not appear to use any hooks that would require inspection for external dependencies.",{"category":189,"check":330,"severity":168,"summary":331},"Feature Transparency","All critical functionality, including the commands and their purposes, is clearly explained in the README.",{"category":333,"check":334,"severity":168,"summary":335},"Convention","Layout convention adherence","The plugin follows Claude Code plugin conventions, placing `plugin.json` in `.claude-plugin/` and managing its runtime components and skills within the expected structure.",{"category":333,"check":337,"severity":168,"summary":338},"Plugin state","Plugin state is managed within the `.fpf/` directory, which aligns with the expected behavior for persistent data and ensures it is handled correctly during uninstallation.",{"category":211,"check":340,"severity":191,"summary":341},"Keychain-stored secrets","The plugin does not consume any secrets that would require storage in the OS keychain.",{"category":343,"check":344,"severity":191,"summary":345},"Dependencies","Tagged release sourcing","The plugin does not bundle external MCP servers or other dependencies that would require sourcing from tagged releases.",{"category":347,"check":348,"severity":168,"summary":349},"Installation","Clean uninstall","The plugin's operations are confined to its own directory and session-scoped processes, ensuring a clean uninstall without leaving background daemons or persistent system modifications.",1778694689092,"This plugin implements the First Principles Framework (FPF) to guide AI decision-making through a structured reasoning process. It utilizes an Abduction-Deduction-Induction (ADI) cycle, facilitated by an fpf-agent, to generate hypotheses, verify logic, validate evidence, and audit trust scores. The plugin manages its own state within the .fpf/ directory and provides utility commands for status checks, knowledge base queries, evidence management, and resetting the cycle.",[353,354,355,356,357],"Implements FPF ADI cycle for structured reasoning","Generates, verifies, and validates competing hypotheses","Audits trust scores for evidence-based validation","Provides commands for managing decision cycles and knowledge","Creates auditable decision rationale records (DRRs)",[359,360,361],"Making unsupervised AI decisions","Replacing human judgment in the decision-making process","Providing a general-purpose LLM interaction tool",[363,364,365],"Structured Reasoning","Knowledge Management","Auditability",[],"To make AI decision-making transparent, auditable, and evidence-based by enforcing a systematic hypothesis-driven reasoning process.","The plugin is well-documented, secure, and follows best practices, with only a minor warning regarding potential token consumption due to its large specification. Its functionality is self-contained and directly addresses a relevant problem.",88,"A robust plugin for structured, auditable AI decision-making using the First Principles Framework.",[84,61,59,85,372],"ai-workflow","community",[375,376,377,378],"Making critical architectural or technical decisions with an auditable trail","Preventing premature conclusions by systematically evaluating alternatives","Building and leveraging project knowledge over time","Ensuring AI-assisted development processes are transparent and accountable",[380,381,382,383,384,385,386,387],"Initialize FPF context with problem statement","Generate competing hypotheses (Abduction)","Allow user to add hypotheses","Verify logic of each hypothesis (Deduction)","Validate evidence for logically sound hypotheses (Induction)","Audit trust scores for validated hypotheses","Present decision comparison and select winner","Record decision rationale (DRR) and present summary",{"codeQuality":389,"collectedAt":391,"documentation":392,"maintenance":395,"security":402,"testCoverage":404},{"hasLockfile":390},true,1778694668261,{"descriptionLength":393,"readmeSize":394},365,40436,{"closedIssues90d":396,"forks":397,"hasChangelog":398,"manifestVersion":26,"openIssues90d":399,"pushedAt":400,"stars":401},8,89,false,6,1778029371000,993,{"hasNpmPackage":398,"license":403,"smitheryVerified":398},"GPL-3.0",{"hasCi":398,"hasTests":390},{"updatedAt":406},1778694689213,{"basePath":408,"githubOwner":20,"githubRepo":21,"locale":22,"slug":30,"type":409},"plugins/fpf","plugin",{"_creationTime":411,"_id":412,"community":413,"display":414,"identity":418,"parentExtension":421,"providers":422,"relations":437,"tags":438,"workflow":439},1778694480889.9443,"k173g7jx10ba2yhdcc5s3cc1jd86mzfh",{"reviewCount":11},{"description":415,"installMethods":416,"name":417,"sourceUrl":17},"Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.",{"claudeCode":15},"Context Engineering Kit",{"basePath":419,"githubOwner":20,"githubRepo":21,"locale":22,"slug":21,"type":420},"","marketplace",null,{"evaluate":423,"extract":431},{"promptVersionExtension":424,"promptVersionScoring":27,"score":28,"tags":425,"targetMarket":35,"tier":36},"3.1.0",[426,427,428,429,430],"context-engineering","agent-productivity","llm-patterns","code-quality","developer-tools",{"commitSha":38,"license":432,"marketplace":433,"plugin":435},"GPL-3.0-or-later",{"name":21,"pluginCount":434,"version":26},13,{"mcpCount":11,"provider":436,"skillCount":11},"classify",{"repoId":40},[427,429,426,430,428],{"evaluatedAt":440,"extractAt":44,"updatedAt":440},1778694497063,{"evaluate":442,"extract":444},{"promptVersionExtension":26,"promptVersionScoring":27,"score":369,"tags":443,"targetMarket":35,"tier":373},[84,61,59,85,372],{"commitSha":38,"license":432,"plugin":445},{"mcpCount":11,"provider":436,"skillCount":399},{"parentExtensionId":412,"repoId":40},{"_creationTime":448,"_id":40,"identity":449,"providers":450,"workflow":1259},1778694475065.1633,{"githubOwner":20,"githubRepo":21,"sourceUrl":17},{"classify":451,"discover":1244,"github":1247},{"commitSha":38,"extensions":452},[453,466,505,530,552,567,600,609,646,669,704,717,726,745,765,774,782,789,797,805,813,821,829,837,845,853,861,869,877,882,887,892,897,902,907,915,923,931,939,947,955,963,971,979,987,994,1002,1010,1018,1026,1034,1042,1050,1058,1066,1074,1082,1090,1098,1106,1114,1122,1130,1138,1146,1154,1162,1170,1178,1186,1194,1202,1210,1220,1228,1236],{"basePath":419,"description":415,"displayName":21,"installMethods":454,"rationale":455,"selectedPaths":456,"source":465,"sourceLanguage":22,"type":420},{"claudeCode":15},"marketplace.json at .claude-plugin/marketplace.json",[457,460,462],{"path":458,"priority":459},".claude-plugin/marketplace.json","mandatory",{"path":461,"priority":459},"README.md",{"path":463,"priority":464},"LICENSE","high","rule",{"basePath":467,"description":468,"displayName":469,"installMethods":470,"rationale":471,"selectedPaths":472,"source":465,"sourceLanguage":22,"type":409},"plugins/reflexion","Collection of commands that force LLM to reflect on previous response and output. Based on papers like Self-Refine and Reflexion. These techniques improve the output of large language models by introducing feedback and refinement loops.","reflexion",{"claudeCode":469},"plugin manifest at 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codebase and PR review commands and skills using multiple specialized agents.","review",{"claudeCode":508},"plugin manifest at plugins/review/.claude-plugin/plugin.json",[512,513,514,516,518,520,522,524,526,528],{"path":474,"priority":459},{"path":461,"priority":459},{"path":515,"priority":478},"skills/review-local-changes/SKILL.md",{"path":517,"priority":478},"skills/review-pr/SKILL.md",{"path":519,"priority":464},"agents/bug-hunter.md",{"path":521,"priority":464},"agents/code-quality-reviewer.md",{"path":523,"priority":464},"agents/contracts-reviewer.md",{"path":525,"priority":464},"agents/historical-context-reviewer.md",{"path":527,"priority":464},"agents/security-auditor.md",{"path":529,"priority":464},"agents/test-coverage-reviewer.md",{"basePath":531,"description":532,"displayName":33,"installMethods":533,"rationale":534,"selectedPaths":535,"source":465,"sourceLanguage":22,"type":409},"plugins/git","Introduces commands for commit and PRs creation, plus skills for git worktrees and notes.",{"claudeCode":33},"plugin manifest at plugins/git/.claude-plugin/plugin.json",[536,537,538,540,542,544,546,548,550],{"path":474,"priority":459},{"path":461,"priority":459},{"path":539,"priority":478},"skills/analyze-issue/SKILL.md",{"path":541,"priority":478},"skills/attach-review-to-pr/SKILL.md",{"path":543,"priority":478},"skills/commit/SKILL.md",{"path":545,"priority":478},"skills/create-pr/SKILL.md",{"path":547,"priority":478},"skills/git-notes/SKILL.md",{"path":549,"priority":478},"skills/git-worktrees/SKILL.md",{"path":551,"priority":478},"skills/load-issues/SKILL.md",{"basePath":553,"description":554,"displayName":555,"installMethods":556,"rationale":557,"selectedPaths":558,"source":465,"sourceLanguage":22,"type":409},"plugins/tdd","Introduces commands for test-driven development, common anti-patterns and skills for testing using subagents.","tdd",{"claudeCode":555},"plugin manifest at 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Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.","agent-evaluation",{"claudeCode":15},"SKILL.md frontmatter at plugins/customaize-agent/skills/agent-evaluation/SKILL.md",[772],{"path":773,"priority":459},"SKILL.md",{"basePath":775,"description":776,"displayName":777,"installMethods":778,"rationale":779,"selectedPaths":780,"source":465,"sourceLanguage":22,"type":23},"plugins/customaize-agent/skills/apply-anthropic-skill-best-practices","Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure","apply-anthropic-skill-best-practices",{"claudeCode":15},"SKILL.md frontmatter at plugins/customaize-agent/skills/apply-anthropic-skill-best-practices/SKILL.md",[781],{"path":773,"priority":459},{"basePath":783,"description":784,"displayName":426,"installMethods":785,"rationale":786,"selectedPaths":787,"source":465,"sourceLanguage":22,"type":23},"plugins/customaize-agent/skills/context-engineering","Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.",{"claudeCode":15},"SKILL.md frontmatter at plugins/customaize-agent/skills/context-engineering/SKILL.md",[788],{"path":773,"priority":459},{"basePath":790,"description":791,"displayName":792,"installMethods":793,"rationale":794,"selectedPaths":795,"source":465,"sourceLanguage":22,"type":23},"plugins/customaize-agent/skills/create-agent","Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns","create-agent",{"claudeCode":15},"SKILL.md frontmatter at plugins/customaize-agent/skills/create-agent/SKILL.md",[796],{"path":773,"priority":459},{"basePath":798,"description":799,"displayName":800,"installMethods":801,"rationale":802,"selectedPaths":803,"source":465,"sourceLanguage":22,"type":23},"plugins/customaize-agent/skills/create-command","Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration","create-command",{"claudeCode":15},"SKILL.md frontmatter at plugins/customaize-agent/skills/create-command/SKILL.md",[804],{"path":773,"priority":459},{"basePath":806,"description":807,"displayName":808,"installMethods":809,"rationale":810,"selectedPaths":811,"source":465,"sourceLanguage":22,"type":23},"plugins/customaize-agent/skills/create-rule","Use when found gap or repetative issue, that produced by you or implemenataion agent. 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