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.
49,395 skills from 2,375 repositories · updated 12 minutes ago
49,393 skills
- lobsterdomainsdavepoon/buildwithclaudeRegister ICANN domains with crypto payments (USDC/USDT/ETH/BTC) via API — built for AI agentsFinanceNo warnings★ 3.7K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 34.6K↓ —
- dexpaprika-apidavepoon/buildwithclaudeAccess DeFi data from DexPaprika: token prices, liquidity pools, OHLCV, transactions across 34+ blockchains and 30M+ pools. Free, no API key needed. Install MCP: add https://mcp.dexpaprika.com/sse as SSE server, or install plugin: /plugin marketplace add coinpaprika/claude-marketplaceEngineeringNo warnings★ 3.7K↓ —
- testing-handbook-generatortrailofbits/skillsGenerates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.guide. Not for answering security testing questions — the generated skills cover those.TestingNo warnings★ 8K↓ —
- gsd:cleanupdavepoon/buildwithclaudeArchive accumulated phase directories from completed milestonesOtherNo warnings★ 3.7K↓ —
- gsd:discuss-phasedavepoon/buildwithclaudeGather phase context through adaptive questioning before planning. Use --all to skip area selection and discuss all gray areas interactively. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).DesignNo warnings★ 3.7K↓ —
- envelope-teamdavepoon/buildwithclaudeDesign and generate .envelope.json AI agent team definitions — the open standard for multi-agent teams with hierarchy, access policies, human-in-the-loop gates, and cron schedules.DesignNo warnings★ 3.7K↓ —Also in 1 other repo
- tao-train-deformable-detrNVIDIA/skillsDeformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing, lighter than DINO with competitive accuracy. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Deformable-DETR model. Trigger phrases include "train deformable-detr", "Deformable DETR object detection", "lightweight DETR detector".OtherNo warnings★ 3.8K↓ —
- launch-tier-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with co-marketing split), an effort calibration matrix (tier to channel intensity and asset scope), D0/W1/M1 KPI targets (labeled Estimated), a risk register (likelihood x blast-radius, owners, mitigations, kill criteria / rollback thresholds), and a T-8w to T+4w timeline skeleton. Not for picking the launch date or window — use launch-window-planner; not for creator-channel launch campaigns — use campaign-planner. 发布分级/发布类型/风险登记册/kill criteriaPlanningNo warnings★ 3.1K↓ —
- gsd:verify-workdavepoon/buildwithclaudeValidate built features through conversational UATOtherNo warnings★ 3.7K↓ —
- gsd:new-milestonedavepoon/buildwithclaudeStart a new milestone cycle — update PROJECT.md and route to requirementsPlanningNo warnings★ 3.7K↓ —
- landing-optimizeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer. 落地页优化/达人流量转化提升TestingNo warnings★ 3.1K↓ —
- distilldavepoon/buildwithclaudeSynthesize wiki pages from related memories. One endpoint, one flow: daemon clusters and synthesizes what it can; agent finishes whatever the daemon couldn't (no LLM or cluster too big). Invoked as `/distill [target]`.OtherNo warnings★ 3.7K↓ —
- golang-spf13-vipersamber/cc-skills-golangGolang configuration library using spf13/viper — layered precedence (flag > env > file > KV > default), BindPFlag/BindPFlags, SetEnvPrefix + SetEnvKeyReplacer + AutomaticEnv, ReadInConfig + ConfigFileNotFoundError, Unmarshal + mapstructure struct tags, Sub for sub-trees, WatchConfig + OnConfigChange for hot reload, viper.New() for test isolation, and remote KV integration. Apply when using or adopting spf13/viper, or when the codebase imports `github.com/spf13/viper`. For CLI command structure alongside viper, see the `samber/cc-skills-golang@golang-spf13-cobra` skill. For general CLI architecture, see `samber/cc-skills-golang@golang-cli`.TestingNo warnings★ 3.8K↓ —
- LQF_Machine_Learning_Expert_Guideforyourhealth111-pixel/Vibe-SkillsLQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.EngineeringNo warnings★ 3.8K↓ —
- contract-helperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for outreach negotiation before a deal exists — use outreach-manager. 达人合同/合作协议条款审查LegalNo warnings★ 3.1K↓ —
- bid-strategy-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pick a bid strategy", "set a tCPA/tROAS target", or "plan the learning-phase entry"; produces a bid-strategy choice (tCPA / tROAS / max-conversions / manual CPC), the starting target math, a portfolio grouping map, and a learning-phase entry plan. Not for splitting the budget across campaigns — use budget-optimizer; not for in-flight pacing/scale moves — use budget-pacing-monitor; not for scoring the account — use ad-account-auditor. 出价策略/tCPA目标/tROAS/学习期PlanningNo warnings★ 3.1K↓ —
- skyverndavepoon/buildwithclaudeAI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable multi-step workflows using natural language. Install: pip install skyvern && skyvern setupBrowserNo warnings★ 3.7K↓ —
- tao-train-single-stepNVIDIA/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.PlanningNo warnings★ 3.8K↓ —
- gsd:spec-phasedavepoon/buildwithclaudeSocratic spec refinement — clarify WHAT a phase delivers with ambiguity scoring before discuss-phase. Produces a SPEC.md with falsifiable requirements locked before implementation decisions begin.PlanningNo warnings★ 3.7K↓ —
- golang-documentationsamber/cc-skills-golangComprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.TestingNo warnings★ 3.8K↓ —
- opsdavepoon/buildwithclaudeBusiness operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.DevOpsNo warnings★ 3.7K↓ —
- gsd:add-backlogdavepoon/buildwithclaudeAdd an idea to the backlog parking lot (999.x numbering)OtherNo warnings★ 3.7K↓ —
- golang-samber-oopssamber/cc-skills-golangStructured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports github.com/samber/oops.ProductivityNo warnings★ 3.8K↓ —
positioning-mapper
aaron-he-zhu/aaron-marketing-skills
DataUpdated 4 hours ago
From the author
Use when the user asks to "map our positioning", "name our competitive alternatives", or "pick a beachhead segment for the launch"; produces a Dunford-style positioning canvas — named competitive alternatives (including spreadsheet and status quo), unique attributes (verifiable, or routed to the claims ledger), value themes (attribute→benefit→value chains), a target beachhead segment scored on serviceability / pain intensity / reachability, and a one-sentence onlyness statement — the sole upstream of the message house and the entity-signal source for the canonical entity profile. Not for the message house or per-channel launch copy — use message-house-builder; not for audience/persona profiling itself — use audience-mapper; not for SEO keyword positioning — use keyword-research. 定位画布/竞争替代品/独特价值/滩头细分
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill positioning-mapper -a claude-code
Installs to .claude/skills/positioning-mapper/ · 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
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- SKILL.md