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.
48,743 skills from 2,355 repositories · updated 26 minutes ago
47,668 skills
- research-competitors-rival-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief for profiling one rival at a capped depth, returning a fixed-shape profile. Run research-competitors instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- 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↓ —
- oma-tf-infrafirst-fluke/oh-my-agentInfrastructure-as-code specialist for multi-cloud provisioning using Terraform across any provider (AWS, GCP, Azure, Oracle Cloud). Use for terraform plan/apply, state management, compute, databases, storage, networking, IAM, OIDC, cost optimization, policy-as-code, ISO/IEC 42001 AI controls, ISO 22301 continuity, and ISO/IEC/IEEE 42010 architecture documentation.DevOpsNo warnings★ 1.4K↓ —
- work-with-creators-rate-and-dealgooseworks-ai/goose-skillsPrices a creator you have already vetted. Gives a low and a target fee from median views and the platform's typical cost per 1,000 views, a walk-away ceiling from your goal and margin, and usage rights priced on their own. Checks against real quoted rates and recommends gift, paid, affiliate or a mix, with one line showing the math. Use alone when you already have the creator's recent view numbers, your goal and your unit cost; otherwise run work-with-creators.OtherNo warnings★ 1.3K↓ —
- work-with-creators-creator-discoverygooseworks-ai/goose-skillsStep of the work-with-creators playbook: builds and screens a long list of creators from fans, category creators and search, and ranks finalists to vet next. Run work-with-creators instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- research-audience-segment-passgooseworks-ai/goose-skillsStep of the research-audience playbook: the worker brief for researching one buyer group, returning notes in a fixed shape. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- email-lifecycle-send-checkgooseworks-ai/goose-skillsChecks a drafted email flow or broadcast before it is loaded: flow logic and exits, overlaps, offer depth and codes, stock, claims, consent and legal footer, SMS rules, rendering, voice and AI-copy tells, and the goal metric. Returns a pass / fixed / open-question table. Use alone when you already have the finished draft and the brand's product and policy facts; otherwise run email-lifecycle.ProductivityNo warnings★ 1.3K↓ —
- shiphashgraph-online/awesome-codex-pluginsRelease-gate sequence: validate → review → push → tag. Wraps kernel:git mechanics with the pre-ship safety chain. Triggers: ship, release, push to main, ready to merge, deploy.DevOpsNo warnings★ 1.5K↓ —
- research-market-market-passgooseworks-ai/goose-skillsStep of the research-market playbook: the worker brief for researching the market itself, including category, size, changes, pricing norms and demand. Run research-market instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- analyze-performance-diagnosegooseworks-ai/goose-skillsStep of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence, confidence and ruled-out causes. Run analyze-performance instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- research-audience-people-and-contactsgooseworks-ai/goose-skillsFor a list of companies, picks 1-3 current people per company in different buying roles, confirms each title with a dated source, finds a public contact route, labels email status honestly and flags regions with contact rules. Never contacts anyone. Use alone when you already have a vetted company list and the buyer titles; otherwise run research-audience.ScienceNo warnings★ 1.3K↓ —
- goose-graphics-create-formatgooseworks-ai/goose-skillsCreates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.DocumentsNo warnings★ 1.3K↓ —
- 02-rl-rewardagentscope-ai/OpenJudgeBuild RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.ProductivityNo warnings★ 1K↓ —
- make-static-ads-copy-variantsgooseworks-ai/goose-skillsStep of the make-static-ads playbook: after an image is approved, makes more versions of the same picture with different hooks, headlines or fonts by a quoted re-render with the approved render attached as the brand's own image, so copy can be tested without new visuals. Offered, never default. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- make-static-ads-claims-extractgooseworks-ai/goose-skillsStep of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- pnas-figuresbrycewang-stanford/Awesome-Journal-SkillsUse to finalize PNAS display items — column-width sizing (~9 / 11.4 / 18 cm), minimum font sizes, show-the-data with n and defined error bars, scale bars, colorblind-safe palettes, legend structure, image integrity, and color-mode notes. Enforces figure rigor before submission.MediaNo warnings★ 1.4K↓ —
- make-content-source-to-unitsgooseworks-ai/goose-skillsStep of the make-content playbook: mines one finished asset into scored quotable units and maps a different lead unit to each platform. Run make-content instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- plan-campaign-goal-chaingooseworks-ai/goose-skillsChecks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign.MarketingNo warnings★ 1.3K↓ —
- render-flat-vector-explainergooseworks-ai/goose-skillsAssemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO drives word-by-word burned captions over a VO-forward music bed, and the ~50s animated silent master is re-cut to a 30s deliverable FROM the animated master (never a static intermediate). Documentation-grade — ships config.example.json + PIPELINE.md + a README of the free assembly; the paid gen steps (keyframes, Kling i2v, VO, music) are separate capabilities the recipe orchestrates. Use for the flat-vector-explainer format.MediaNo warnings★ 1.3K↓ —
- vis-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an IEEE VIS project timeline from area fit through the abstract and full-paper deadlines, the two-phase review, the conditional-accept second round, the IEEE TVCG camera-ready, the Graphics Replicability Stamp, and presentation, with backward-planning offsets for a visualization paper and honest handling of the annual cycle and the second-round revision window.ProductivityNo warnings★ 1.4K↓ —
- loop-engineeringhuytieu/COG-second-brainShared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).EngineeringNo warnings★ 1.3K↓ —
- knowledge-consolidationhuytieu/COG-second-brainBuild frameworks from scattered insights across all braindumps and notesProductivityNo warnings★ 1.3K↓ —Also in 1 other repo
- render-editorial-motion-podcastgooseworks-ai/goose-skillsAssemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.MediaNo warnings★ 1.3K↓ —
- minutes-video-reviewsilverstein/minutesAnalyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.MediaNo warnings★ 1.6K↓ —Also in 1 other repo
publish-pcf-companion
microsoft/power-platform-skills
From the author
Deploy the dispatcher PCF for a third-party `.ppmplugin` control to a Power Platform environment via `pac pcf push`. The dispatcher PCF is the Studio-side control that dispatches the composite key `<name>/<receiver>` over the wrap shell's `SendMessagePlugin` bridge to the control's native module. Verifies deploy prereqs (Node.js 20+ with npm, .NET SDK, and active `pac auth`), then three confirmation gates — publisher prefix (2–8 chars; defaults to `pamext` or the last-used value from `.extension-state.md`), version bump (patch / minor / major / no-bump), target environment URL (from `pac org who`). Builds the PCF if needed, then pushes. Decoupled from /generate-pcf-companion so the engineer can scaffold and customize locally, then deploy when ready. Updates `.extension-state.md` with deployment history (timestamp, env URL, version, prefix used).
Install
npx skills add microsoft/power-platform-skills --skill publish-pcf-companion -a claude-code
Installs to .claude/skills/publish-pcf-companion/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
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- SKILL.md