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.
49,409 skills from 2,375 repositories · updated 3 hours ago
48,362 skills
- nopua-litewuji-labs/nopuaNoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.ProductivityNo warnings★ 1.4K↓ —
- nopua-zhwuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivityNo warnings★ 1.4K↓ —
- <provider-id>Anil-matcha/awesome-muse-connectors<What it does, one line>. Trigger phrases: <phrases>.OtherNo warnings★ 1.4K↓ —
- 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↓ —
- test-driven-developmentGanyuanRan/AegisUse when the user explicitly requests strict or test-first TDD, or when the current conversation already contains an explicit `TDD Route: strict` decision from another Aegis workflow.TestingNo warnings★ 1.4K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OfficialMediaNo warnings★ 11.3K↓ —
- analyze-driversmicrosoft/power-platform-skillsUse when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.OtherNo warnings★ 1.1K↓ —
- arcmirahashgraph-online/awesome-codex-pluginsAnswers what YouTube shows and podcasts said: transcripts, who was mentioned, sponsors, recommendations, momentum. Use for the arcmira MCP server or CLI.EngineeringNo warnings★ 1.5K↓ —
- shiphashgraph-online/awesome-codex-pluginsUse when all plan tasks are done and green to review, archive planning artifacts, and ask how to finish.PlanningNo warnings★ 1.5K↓ —
- analyze-objectsmicrosoft/power-platform-skillsUse when analyzing interacting object types, object-centric processes, leading-object executions or cross-object delay.OtherNo warnings★ 1.1K↓ —
- build-ios-binarymicrosoft/power-platform-skillsCompile a PAM control's iOS Obj-C/Swift module into the FLAT device-slice `.framework` for a `.ppmplugin` bundle (never an `.xcframework` — the wrap CI won't descend into one). Mac-only (Xcode). Builds from a throwaway staged copy so canonical `ios/` and the podspec stay untouched, references React-Core headers only (React is weak-linked and provided by the wrap host at runtime, no CocoaPods), generates the required umbrella header, module map and Info.plist, sets the critical build settings, asserts manifest conformance, then runs a device-only `xcodebuild archive` and copies out the flat framework to `ppmplugin/staging/ios/`. Known limitation — the React weak-link flags aren't yet validated against a live wrap host and the RN pin must match the host's. Run after /generate-ppmplugin-manifest for an iOS or Both target, before /assemble-ppmplugin.EngineeringNo warnings★ 1.1K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- derive-clientfcakyon/claude-codex-settingsReverse-engineer a website's internal API by recording browser traffic into a HAR file, then generate a standalone client or CLI that calls the endpoints directly, with no browser needed after the first recording. Use when asked to "derive a client", "build a CLI for <site>", "reverse engineer this site's API", "record network requests", "turn this site into an API", or when the same site will be automated repeatedly and direct HTTP calls would beat driving the browser every time.BrowserNo warnings★ 1.2K↓ —
- 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↓ —
- email-designNewfcakyon/claude-codex-settingsThis skill should be used when user asks to "design app emails", "theme transactional emails", "fix verification emails", "build email templates", or "review password reset emails". Match an app’s brand and reuse its delivery pipeline across account, billing and notification emails.DesignNo warnings★ 1.2K↓ —
- 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↓ —
- nanoresearch-writingOpenRaiser/NanoResearchDraft a LaTeX research paper from all previous stage outputsWritingNo warnings★ 1.3K↓ —
- nanoresearch-ideationOpenRaiser/NanoResearchSearch academic literature and generate research hypothesesScienceNo 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↓ —
- ml-paper-writingOpenRaiser/NanoResearchWrite publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.ScienceNo warnings★ 1.3K↓ —
- peft-fine-tuningOpenRaiser/NanoResearchParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.ProductivityNo warnings★ 1.3K↓ —
- ultragoalhuytieu/COG-second-brainRun a large, multi-session goal (e.g. shipping a whole side product) through the full V-model closed loop, one phase at a time, with cross-session state and a final north-star acceptance gate. Ultragoals never downgrade the lane: every phase runs CP-1→CP-6 with adversarial verification. Opt-in: invoke with /ultragoal or by calling something a long-running goal. Ordinary work does not run this.OtherNo warnings★ 1.3K↓ —Also in 1 other repo
brand-ideation
rampstackco/claude-skills
PlanningUpdated Oct 27, 2026
From the author
Generate, evaluate, and narrow brand concepts during early ideation including positioning territories, naming candidates, mood directions, and narrative angles. Use this skill whenever the user is in the early phase of brand creation, exploring brand directions, brainstorming names, building moodboards, generating positioning options, or trying to choose between multiple brand directions. Triggers on brand ideation, brand concept, naming, brand name, name candidates, positioning, brand positioning, mood board, brand directions, exploring brands, early brand work, brand exploration, brand brainstorm, brand options. Also triggers when the user has multiple half-formed brand ideas and needs help converging on one, even if they do not say 'ideation' explicitly.
Install
npx skills add rampstackco/claude-skills --skill brand-ideation -a claude-code
Installs to .claude/skills/brand-ideation/ · 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: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (4)
- README.md
- SKILL.md
- references/ideation-output-template.md
- references/naming-evaluation-rubric.md