Autoskill
技能 已验证 活跃Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
To automate the creation of new AI agent skills by analyzing actual user workflows, saving time and ensuring skills align with practical research needs.
功能
- Observe user screen activity via screenpipe
- Detect and cluster repeated workflow patterns
- Match workflows against existing agent skills
- Draft new skills or composition recipes
- Local data processing and redaction for privacy
使用场景
- Analyze recent work to propose new skills
- Draft skills based on observed user workflows
- Find composition recipes for repeated tasks
- Identify gaps in existing AI agent capabilities
非目标
- Real-time screen queries
- Analyzing screenpipe itself
- Running without user explicit trigger
- Sending raw screen data to LLM or third parties
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Fixflow
100使用严格的交付工作流执行编码任务：构建完整计划、分步实现、持续运行测试，并默认在每一步 (`per_step`) 后提交。当用户要求行为驱动交付或需求不明确时，支持显式提交策略覆盖 (`final_only`, `milestone`) 和可选的 BDD（给定/当/则）。
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99Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability analysis.
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99Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
Plan Release Cycle
99Plan a software release cycle with milestones, feature freezes, release candidates, and go/no-go criteria. Covers calendar-based and feature-based release strategies. Use when starting planning for a major or minor version release, transitioning from ad-hoc to structured release cadence, coordinating a release across multiple teams or components, defining quality gates for a regulated project, or planning the first public release (v1.0.0) of a project.
Ralplan
99Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
Omc Plan
99Strategic planning with optional interview workflow