发现 devops knowledge base 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
This skill should be used when creating a new .md file, completing an analysis or audit, deciding whether to archive or delete docs, or when uncertain if something should be documented. Covers document types, n...
Find most up-to-date documentation for relevant tools, libs, etc.
Interview me to clarify thinking. Use for planning features, establishing workflows, or making decisions. One question at a time, propose options with pros/cons/recommendation.
Master systematic debugging techniques to problem, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issue...
Creates well-structured GitHub issues formatted for future Claude instances to work on. Use when the user asks to create a GitHub issue or wants to document a task/bug for later implementation.
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
Store and retrieve memories using the BrAIny REST API. Use this skill to persist facts, notes, and messages about the user or conversation. Automatically stores context when the context window is reaching its l...
Index codebases for semantic code search. Use this skill to make a project's source code searchable via vector similarity, enabling natural language queries like "how does authentication work" or "find the data...
Compress memories into structured summaries using low-cost AI models (Claude Haiku, GPT-4o-mini). Triggers when memory count exceeds 50 or token estimate exceeds 40000. Outputs structured JSON with compression...
Guide for creating and updating README files following autonomous-bits development standards. Use this when asked to create or update README files, ensure documentation completeness, or review README quality.
Research topics deeply and create compelling content including blog posts, Reddit campaigns, technical articles, and educational materials. Use for marketing and developer advocacy content.
Systematic bug debugging methodology, root cause analysis, and fix verification. Use when investigating and fixing bugs. (project)
Security best practices, OWASP guidelines, and vulnerability prevention checklist. (project)
Guide for creating new Claude Code skills following best practices. Use when the user asks to create a new skill, agent capability, or wants to extend Claude's autonomous functionality.
Scale AI fluency beyond individuals through standards, guardrails, audit trails, and organizational policies that maintain quality and accountability.
Retain epistemic control by validating AI outputs against logic, first principles, and reality. Detect confident nonsense, false completeness, and category errors.
Comprehensive project scoping through iterative discovery. Guides users through structured questioning phases to capture every detail needed for software work — whether building new products, adding features, a...
Transform a product briefing into comprehensive, research-backed product management artifacts. This skill conducts domain-expert research BEFORE user questioning to enable smarter questions and pre-populated a...
Create comprehensive spec with diagrams, flows, and thorough documentation. Use when: detailed spec, comprehensive spec, full spec, baldrick spec. Triggers on: detailed, comprehensive, full spec, thorough.
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript,...
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Personal Knowledge Management via Obsidian MCP - capture learnings to daily notes and search vault
Single-file AI memory with memvid-cli for persistent knowledge storage and retrieval using text-embedding-3-large (3072 dimensions). Use when storing learnings, searching past context, managing session memory,...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。