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 7 hours ago
48,451 skills
- signup-flow-croalirezarezvani/claude-skillsUse when signup, registration or trial-start conversion is low or a signup flow is being designed. Finds the drop-off step with funnel_drop_analyzer.py and removes friction field by field.MarketingNo warnings★ 29.3K↓ —
- release-runbookamplifthq/openmeldUse when asked to deploy, release, publish, or ship OpenMeld to production — workers, Web, CLI, or local components. Routes to `pnpm run deploy`; never deploy raw.DevOpsNo warnings★ 1.4K↓ —
- competitor-ad-intelligencegooseworks-ai/goose-skillsScrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.MarketingNo warnings★ 1.3K↓ —
- render-split-screen-creatorgooseworks-ai/goose-skillsAssemble a split-screen creator ad from a config: an AI-creator lip-sync take fills the bottom half while real 16:9 product or demo clips play uncropped in the top half over a blurred fill of the same clip (never black bars), with a brand-colour divider between them. Scenes follow the voiceover timing and are joined hard, an end card holds about 3 seconds, then the finished cut is transcribed and word-level captions are burned in the chosen style. Free, deterministic assembly and captions; the voiceover comes from create-vo-elevenlabs, the creator anchor from create-image-gpt-image-fal, and the lip-sync take is supplied as an input. Use for the split-screen-creator format.MediaNo warnings★ 1.3K↓ —
- 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↓ —
- 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↓ —
- sdd-riperalibaba/skill-upSDD-RIPER workflow executor with phase gatingProductivityNo warnings★ 1.4K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- work-with-creators-creator-vettinggooseworks-ai/goose-skillsVets creators you have already named from their public pages. Covers the median views of their last 12 to 20 posts (sponsored and organic apart), a read of their comments, how often they post, audience fit with how sure it is, about 12 months of brand-safety checks, rival partnerships and rules for regulated categories. Gives a verdict with dated numbers for each one. Use alone when you already have the creator handles and the brand's goal; otherwise run work-with-creators.LegalNo warnings★ 1.3K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OfficialDevOpsNo warnings★ 11.3K↓ —
- email-lifecycle-offer-mathgooseworks-ai/goose-skillsPrices one discount, free-shipping threshold or referral reward against contribution margin: cost per order, share of margin used, break-even lift, code leakage risks, and one recommended offer in two plain sentences. Use alone when you already have the offer, average order value and margin per product; otherwise run email-lifecycle.ProductivityNo warnings★ 1.3K↓ —
- search-shared-sessionsAgentWorkforce/relaySearch an Agent Relay workspace's shared coding-agent sessions for prior work, decisions, fixes, or the context behind a task or pull request. Use when team history could answer the user's question or prevent repeating an investigation.FinanceNo warnings★ 1.1K↓ —
- render-cinematic-music-videogooseworks-ai/goose-skillsAssemble a cinematic live-action-style music-video ad from a config — an original sung anthem carries the whole narrative while N 35mm-film-look i2v clips are each cut to their lyric window and hard-concatenated on the beat as a 3-act arc, the anthem muxed at loudnorm I=-14, cinematic lower-third serif captions built from the song's OWN word timings (never Whisper) with the hook line landing on the chorus drop, and closed on a brand end card composited from the real asset — never AI-rendered text. This is the FREE deterministic assembly stage (cut-to-window + hard concat + anthem mux + captions + end card); the anthem, keyframes, and clips come from create-music-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the cinematic-music-video format.MediaNo warnings★ 1.3K↓ —
- make-static-ads-render-reviewgooseworks-ai/goose-skillsStep of make-static-ads: a fresh judge checks every render against its concept-board row and the official product photos, one retry inside the marketer's approval, then the claims and set checks; records each verdict in tags and the batch file. Run make-static-ads instead; not for direct use.MediaNo warnings★ 1.3K↓ —
- capturealirezarezvani/claude-skillsUse whenever the user unloads a messy brain dump of ideas, tasks and plans ('capture this', 'brain dump', a long unstructured paste) and wants it organized. Sorts it with dump_classifier.py into projects, tasks and connections with nothing lost.PlanningNo warnings★ 29.3K↓ —Also in 1 other repo
- oma-brainstormfirst-fluke/oh-my-agentDesign-first ideation that explores user intent, constraints, and approaches before any planning or implementation. Use for brainstorming, ideation, exploring concepts, and evaluating approaches.PlanningNo warnings★ 1.4K↓ —
- github-oauth-nango-integrationAgentWorkforce/relayUse when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handlingOtherNo warnings★ 1.1K↓ —
- make-static-ads-composegooseworks-ai/goose-skillsStep of make-static-ads: writes each ad's render prompt and ordered image list from its concept-board row, one per ad and ratio, ready for a quoted render. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- run-paid-campaigns-draft-movesgooseworks-ai/goose-skillsStep of the run-paid-campaigns playbook: turns the weekly read into scale, pause, hold, rotate and fix recommendations within the spend ceiling. Run run-paid-campaigns instead; not for direct use.OtherNo warnings★ 1.3K↓ —
grade-iterate
alirezarezvani/claude-skills
OtherUpdated yesterday
From the author
Use when a launched managed agent needs grading against a rubric and improving ('grade my agent', 'is it good enough'). Builds the outcome with outcome_builder.py, reads verdicts with verdict_reader.py and runs held-back evals from eval_scaffold.py.
Install
npx skills add alirezarezvani/claude-skills --skill grade-iterate -a claude-code
Installs to .claude/skills/grade-iterate/ · 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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- Ships scripts we have not reviewedLow
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Provenance94
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Files (5)
- README.md
- SKILL.md
- scripts/eval_scaffold.py
- scripts/outcome_builder.py
- scripts/verdict_reader.py