Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,538 skills from 2,407 repositories · updated 30 minutes ago
49,536 skills
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- pip-writermohitagw15856/pm-claude-skillsWrite a Performance Improvement Plan a manager can defend and an employee can actually act on — specific concerns, measurable goals, real support, and an honest timeline. Use when asked to write a PIP, put someone on a performance plan, document underperformance, or build a formal improvement plan. Produces the concern statement, the measurable goals with success criteria, the support plan, the check-in cadence, and the consequences — HR/legal-ready. Complements pip-responder (the employee's side).WritingNo warnings★ 1.5K↓ —
- quote-cardmohitagw15856/pm-claude-skillsPull the single most shareable quote out of a testimonial, review, interview, or long text and format it as a clean quote card. Use when asked to make a pull-quote, testimonial graphic, or 'quote card' for social/marketing. Produces a tightly-edited quote with attribution and 2-3 alternates, structured to look great exported as a PNG from the playground.MarketingNo warnings★ 1.5K↓ —
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestingNo warnings★ 1.3K↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.WritingNo warnings★ 1.3K↓ —
- idea-stormmohitagw15856/pm-claude-skillsGenerate a big, wide spread of ideas for anything by running the prompt through many different lenses at once, then clustering and picking. Use when asked to brainstorm ideas for, give me lots of options, help me come up with, or I need ideas for. Produces a high-volume, deliberately varied idea list generated across multiple angles (safe, wild, cheap, ambitious, weird, opposite), grouped into themes, and a shortlist of the most promising — maximizing range so you're not choosing from three obvious options.PlanningNo warnings★ 1.5K↓ —
- interviewalirezarezvani/claude-skillsUse when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.PlanningNo warnings★ 29.3K↓ —
- rfc-writermohitagw15856/pm-claude-skillsWrite an engineering RFC (Request for Comments) for a technical decision, architectural change, or significant implementation approach. Use when asked to write an RFC, document a technical proposal, create a design doc, write an architecture decision for review, or produce a technical specification for team feedback. Produces a complete RFC document covering problem statement, motivation, proposed solution, alternatives rejected, implementation plan, migration plan, security and performance implications, observability changes, rollout plan, and open questions.WritingNo warnings★ 1.5K↓ —
- 导出视频NewChatCut-Inc/agent-plugin按需导出成片、音频或字幕文件。OtherNo warnings★ 1K↓ —
- relay-80-100-workflowAgentWorkforce/relayUse when writing agent-relay workflows that must fully validate features end-to-end before merging. Covers the 80-to-100 pattern - going beyond "code compiles" to "feature works, tested E2E locally." Includes repair-before-failure validation gates, review-depth fresh-eyes review/fix loops with test hardening, PGlite for in-memory Postgres testing, mock sandbox patterns, test-fix-rerun loops, verify gates after every edit, and the full lifecycle from implementation through passing tests to commit.ProductivityNo warnings★ 1.1K↓ —
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanningNo warnings★ 1.3K↓ —
- run-paid-campaigns-apply-and-loggooseworks-ai/goose-skillsStep of the run-paid-campaigns playbook: stages the week's approval items, applies only what the marketer approves and keeps the change log. Run run-paid-campaigns instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- planhashgraph-online/awesome-codex-pluginsShape a request into one end-to-end slice with observable behavior; review write scope and reversible decisions. Use when: planning, breaking down or scoping a change.PlanningNo warnings★ 1.5K↓ —Also in 2 other repos
- rfp-writermohitagw15856/pm-claude-skillsWrite a clear Request for Proposal that gets comparable, high-quality vendor bids. Use when asked to write an RFP, a request for proposal/quote/tender, or to solicit and compare vendor proposals. Produces a complete RFP — background, scope of work, requirements, evaluation criteria with weights, submission instructions, and timeline — structured so responses are easy to compare apples-to-apples.WritingNo warnings★ 1.5K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.WritingNo warnings★ 1.3K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- howNewhashgraph-online/awesome-codex-pluginsExplain how a part of the codebase works, from trigger to result, at the depth an experienced engineer needs to start changing it. Use for "how does X work", "walk me through Y", "where should this code go", "which layer owns Z".EngineeringNo warnings★ 1.5K↓ —
- endpoint-probehoangsonww/Claude-Code-Agent-MonitorProbes each major Agent Monitor API route — /api/stats, /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/runs, /api/cc-config/overview — and reports each one's HTTP status, latency, and response shape, flagging which are reachable. Use to verify a dashboard install is wired up correctly.DataNo warnings★ 1.1K↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ScienceNo warnings★ 1.3K↓ —
- capa-officeralirezarezvani/claude-skillsUse for CAPA work in a medical device QMS: root cause analysis (5-Why, fishbone), corrective action plans, effectiveness checks or CAPA metrics. Tracks CAPAs with capa_tracker.py and analyzes causes with root_cause_analyzer.py.ScienceNo warnings★ 29.3K↓ —
- whyNewhashgraph-online/awesome-codex-pluginsExplain why code exists in its current form by sending one investigator to each reachable evidence source and returning a cited, confidence-graded answer. Use for "why does this exist", "why was it built this way", "where did this limit come from", "is this dead code".FinanceNo warnings★ 1.5K↓ —
- session-comparehoangsonww/Claude-Code-Agent-MonitorCompare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction baselines), pricing engine cost breakdowns, workflow intelligence (complexity scores, tool flow transitions, subagent effectiveness), session metadata (thinking_blocks, turn_count, turn_duration_ms, usage_extras), and full event timelines with all 10+ event types.ProductivityNo warnings★ 1.1K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ScienceNo warnings★ 1.1K↓ —
voice
ChatCut-Inc/agent-plugin
NewMediaUpdated 7 hours ago
From the author
Text-to-Speech (TTS), voice cloning, voiceover, narration placement/sync, and custom sound effects (SFX) generator. Use when the user wants generated speech from text, wants to clone a consented voice from uploaded reference audio, wants to correct a misspoken word or short phrase in recorded speech, wants to add/replace/align narration or voiceover for an existing video/timeline, wants to keep existing voiceover synced after visual retiming edits, needs voice audition/selection, or explicitly wants a newly generated/custom sound effect that is not available in the Sound Effects library.
Install
npx skills add ChatCut-Inc/agent-plugin --skill voice -a claude-code
Installs to .claude/skills/voice/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (4)
- SKILL.md
- references/fix-spoken-mistakes.md
- references/video-sync.md
- references/voice-workflows-consent-and-parameters.md