技能雷达 · GITHUB
值得安装的 Agent Skills。
汇总公开仓库中已验证的 Skills。安装前先看清它能做什么、包内包含什么、热度如何，以及来源是否可靠。
- 目录范围
- 已验证
- Skills
- 5,771
- 仓库
- 824
- 最近同步
- 2026年9月8日
affaan-magent-sort
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-magentic-os
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mapi-connector-builder
Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mapi-design
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-marchitecture-decision-records
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbenchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbenchmark-methodology
- Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot. Precedes competitive-report-structure.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mblueprint
- Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbrand-discovery
- Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90SYNTHESIS.md).
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbrand-voice
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbrowser-qa
Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mbun-runtime
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcanary-watch
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcisco-ios-patterns
Cisco IOS and IOS-XE review patterns for show commands, config hierarchy, wildcard masks, ACL placement, interface hygiene, and safe change-window verification. Use when reading, writing, or reviewing Cisco IOS / IOS-XE configuration or planning a change window.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mck
Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions. Use when a project needs context to survive across Claude Code sessions instead of being re-explained each time.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcoding-standards
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns. Use when reviewing code quality or naming with no framework-specific skill that applies.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcompetitive-platform-analysis
- Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcompose-multiplatform-patterns
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI. Use when building Compose or Jetpack Compose UI, state, navigation, or theming in a KMP project.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mconfig-gc
Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a confirm-each-deletion cleanup. Use when the user says "clean up my config", "config GC", "too many skills", "audit my setup", "my .claude is bloated", or asks for a periodic config review.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mconfigure-ecc
Guide ECC installation, update, or reconfiguration from inside Claude Code, Codex, or Kimi while respecting each harness's real plugin, scope, and hook capabilities.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mconnections-optimizer
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcontent-hash-cache-pattern
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcontext-budget
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it need to be identified.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日
affaan-mcontinuous-learning
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instead.
- 安装量
- 1
- GitHub Stars
- 25.3万
- 最近更新
- 9月7日