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.
49,492 skills from 2,391 repositories · updated 10 hours ago
48,451 skills
- scenario-war-roomalirezarezvani/claude-skillsUse for compound what-if questions ('what if X and Y both happen?') with major downside across functions. Models cascading scenarios with scenario_modeler.py.OtherNo warnings★ 29.3K↓ —
- chro-advisoralirezarezvani/claude-skillsPeople strategy: hiring plans, comp bands, org structure, performance, retention. Use whenever the user asks who to hire, what to pay, how to structure teams or why staff leave.PlanningNo warnings★ 29.3K↓ —
- <provider-id>Anil-matcha/awesome-muse-connectors<What it does, one line>. Trigger phrases: <phrases>.OtherNo warnings★ 1.4K↓ —
- work-with-creatorsgooseworks-ai/goose-skillsReal creators and influencers, researched, priced and briefed. Use when the marketer says "find influencers", "which creators are worth paying, at what price?", "find real UGC creators to film for our ads", "who should we seed product to", "is this creator's engagement real", "what should I pay this creator" or "write a creator brief". Free research first; one credit yes only to vet deeper. Drafts only: contacts nobody, agrees nothing, moves no money. Not for AI-made UGC-style video — use goose-video; if unsure, ask: a real person filming, or AI-made?MediaNo warnings★ 1.3K↓ —
- ai-model-wechatUpdatedTencentCloudBase/CloudBase-AI-ToolkitUse this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Also covers multimodal image input (image_url content blocks, OCR and form extraction) — vision-capable models only. Models via wx.cloud.extend.AI.createModel with groups cloudbase (main managed, also 小程序成长计划 with `hy4-preview` / `hy3` / `deepseek-v4.1-flash`), the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model id goes in the `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).BrowserNo warnings★ 1.2K↓ —Also in 4 other repos
- varg-music-videohashgraph-online/awesome-codex-pluginsDirects an AI music video or a song-driven promo end to end on varg, the way the most-watched AI music videos are made: measure the song (beat grid, word timings), pitch the concept, cast and lock character references, storyboard every cut on a downbeat, approve stills before paying for video, generate Seedance 2.5 shots, run a mandatory lip-sync pass, draw lyrics and graphics in code, run review rounds and master for each platform. Use when someone asks for a music video, a clip for my song, a video for a track, a lyric video with AI footage, a singing character, an AI artist or band video, slopcore, or a launch video cut to a song. Not for a one-off generated song or single clip (use varg-ai), shot planning and 3D camera blocking only (use varg-previz), a talking character without music (use varg-character-keynote or varg-podcast-video), or a typography-only lyric video with no generated footage (use a HyperFrames music-to-video skill).MediaNo warnings★ 1.5K↓ —
- ad-creativealirezarezvani/claude-skillsUse for any ad copy request (RSA headlines, Meta, LinkedIn or TikTok ads, bulk variations), before writing. Checks every line against platform character limits and policy with ad_copy_validator.py. Campaign strategy and budgets: paid-ads.MarketingNo warnings★ 29.3K↓ —
- openspec-update-changeMemeMeow-Studio/MemeMeowUpdate an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.WritingNo warnings★ 1.3K↓ —
- devils-twinmohitagw15856/pm-claude-skillsThe strongest possible case AGAINST what you just wrote — argued to win, not to check a box. Use when a document is about to ship and everyone around it already agrees: the twin writes the opposition's best memo (not a critique of yours), so you meet the real counter-argument before your audience does. Produces the opposing memo, the map of which of your claims it defeats/dents/leaves standing, and the pre-emption paragraph worth adding.WritingNo warnings★ 1.5K↓ —
- fizz-convertpashov/skillsConvert English-language properties in PROPERTIES.md (produced by the Fizz skill) into Solidity assertions inside the existing fuzz harness, then flip their checkboxes. Trigger on "fizz-convert", "convert properties", "implement properties from PROPERTIES.md", "convert PROPERTIES.md to Solidity".OtherNo warnings★ 1.3K↓ —
- agenthubalirezarezvani/claude-skillsRun several agents on one task in parallel and keep the best result: faster code, copy variants, research angles. Use whenever the user wants multiple attempts compared or best of N; spawns agents in git worktrees, ranks and merges the winner.ScienceNo warnings★ 29.3K↓ —
- long-task-continuationGanyuanRan/AegisUse when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.ProductivityNo warnings★ 1.4K↓ —
- openspec-update-changeMemeMeow-Studio/MemeMeowUpdate an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.WritingNo warnings★ 1.3K↓ —
- model-cardmohitagw15856/pm-claude-skillsDocument a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's intended use and limitations, or prepare an AI model for review/launch. Produces a complete model card — intended use, training data, evaluation metrics across slices, limitations, ethical considerations, and a deployment checklist.DevOpsNo warnings★ 1.5K↓ —
- colt-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.ScienceNo warnings★ 1.4K↓ —
- nejm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which nejm-* sub-skill to invoke next, or when sequencing a clinical manuscript from significance test through response to reviewers for The New England Journal of Medicine. Routes — it does not replace — the specialized skills.ProductivityNo warnings★ 1.4K↓ —
- nejm-fitbrycewang-stanford/Awesome-Journal-SkillsUse this first, before any writing, to stress-test whether a clinical study clears NEJM's bar — practice-changing clinical impact, methodological rigor, and generalizability. Decides NEJM vs Lancet/JAMA vs a specialty journal.TestingNo warnings★ 1.4K↓ —
- conext-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM CoNEXT campaign backward from a deadline, covering the choice between the December and June submission cycles, the mandatory registration step, the one-shot major-revision window, the reproducibility badge opt-in due at submission, PACMNET camera-ready, and presentation — all on CoNEXT's distinctive two-cycles-per-year calendar.ProductivityNo warnings★ 1.4K↓ —
- pnas-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing begins to stress-test whether a result clears PNAS's bar — high quality and broad significance to a general scientific readership — and to make the realistic call between PNAS, Science/Nature, and a specialist field journal.TestingNo warnings★ 1.4K↓ —
- nejm-abstractbrycewang-stanford/Awesome-Journal-SkillsUse to write the NEJM structured abstract — four headed sections (Background, Methods, Results, Conclusions), ≤250 words, with the trial registration number and funding source, leading the Results with the primary outcome reported as an effect size with a 95% CI. Late-stage polish skill.WritingNo warnings★ 1.4K↓ —
- colt-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.DocumentsNo warnings★ 1.4K↓ —
- ndss-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an NDSS submission calendar — choosing between the summer and fall cycles, backward-planning from the AoE deadline through early-reject, rebuttal, notification, camera-ready, and the Seoul symposium, and placing NDSS honestly inside the security big-four retargeting year.ProductivityNo warnings★ 1.4K↓ —
- atc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) campaign end to end — running the year backward from the early-June deadline through the two review rounds, the rebuttal, conditional-acceptance shepherding, the post-acceptance artifact evaluation, and the ACM Open Access camera-ready for the November Hong Kong conference.ProductivityNo warnings★ 1.4K↓ —
- cikm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.ScienceNo warnings★ 1.4K↓ —
saas-metrics-coach
alirezarezvani/claude-skills
OtherUpdated 2 days ago
From the author
Use when someone shares SaaS revenue or customer numbers, or asks about ARR, MRR, churn, LTV, CAC, NRR or how their SaaS is doing. Computes metrics with metrics_calculator.py, quick ratio and unit economics.
Install
npx skills add alirezarezvani/claude-skills --skill saas-metrics-coach -a claude-code
Installs to .claude/skills/saas-metrics-coach/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
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Files (7)
- SKILL.md
- assets/input-template.md
- references/benchmarks.md
- references/formulas.md
- scripts/metrics_calculator.py
- scripts/quick_ratio_calculator.py
- scripts/unit_economics_simulator.py