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.
45,604 skills from 2,205 repositories · updated 21 hours ago
44,573 skills
- gsd:audit-fixdavepoon/buildwithclaudeAutonomous audit-to-fix pipeline — find issues, classify, fix, test, commitTestingNo warnings★ 3.7K↓ —
- gsd:add-testsdavepoon/buildwithclaudeGenerate tests for a completed phase based on UAT criteria and implementationTestingNo warnings★ 3.7K↓ —
- checkdavepoon/buildwithclaudeRun CIAgent regression checks after changing an AI agent's code, prompts, or knowledge base in a repo that has agentci_spec.yaml, and interpret the results. Use after editing agent logic, before committing agent changes, or when the user asks whether the agent still works.WritingNo warnings★ 3.7K↓ —
- fixdavepoon/buildwithclaudeGet fix intelligence for a vulnerability and propose concrete remediation for the current repositorySecurityNo warnings★ 3.7K↓ —
- campaign-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "plan an influencer campaign", "build a campaign blueprint", "track or close a creator campaign", or "record a late campaign correction"; produces the plan and, when requested, a non-canonical evidence tracker with scoped identity, publication, reconciliation, close, and reopen receipts. Not for individual creator briefs — use brief-generator; not for overall product launches without creators — use launch-tier-planner; not for sending, publishing, amplifying, or paying — use the owning execution workflow. 达人营销策划/种草方案/活动追踪与关账MarketingNo warnings★ 3K↓ —
- gsd:settingsdavepoon/buildwithclaudeConfigure GSD workflow toggles and model profileProductivityNo warnings★ 3.7K↓ —
- gsd:graphifydavepoon/buildwithclaudeBuild, query, and inspect the project knowledge graph in .planning/graphs/PlanningNo warnings★ 3.7K↓ —
- writing-lean-proofstrailofbits/skillsWrites and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions. Use when proving theorems in Lean, formalizing mathematics or specifications in Lean 4, defining new types or definitions in a Lean library, reviewing Lean proofs for readability and maintainability, refactoring long tactic proofs into lemmas, filling in sorry placeholders in a Lean development, setting up CI or linters for a Lean project, diagnosing slow proofs or maxHeartbeats timeouts, or writing custom tactics, macros, or linters.WritingNo warnings★ 7.8K↓ —
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.WritingNo warnings★ 3.7K↓ —
- i4h-workflow-dataset-mimicNVIDIA/skillsExpand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.ProductivityNo warnings★ 3.7K↓ —
- holoscan-install-containerNVIDIA/skillsInstall and verify the Holoscan SDK 5.x CUDA 13 development container after checking release availability and host compatibility.OtherNo warnings★ 3.7K↓ —
- file-organizerdavepoon/buildwithclaudeIntelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.ProductivityNo warnings★ 3.7K↓ —
- paid-ads-linkedinnowork-studio/notfair-pluginAudit, diagnose, plan, and safely operate connected LinkedIn Ads accounts through the NotFair MCP, with an export-based fallback. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, campaign groups, creatives, conversions, lead quality, budgets, bids, or approved LinkedIn campaign changes.MarketingNo warnings★ 4.1K↓ —
- memory-bridgeAr9av/obsidian-wikiBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.ProductivityNo warnings★ 3.6K↓ —
- reproduce-regressiontrailofbits/skillsUse when deploying before/after systems and building a live-system PoC for a regression candidate.DevOpsNo warnings★ 7.8K↓ —
- budget-optimizeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "allocate my influencer budget", "optimize spend across tiers", or "compare budget scenarios"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use campaign-planner. 达人预算分配/投放预算优化MarketingNo warnings★ 3K↓ —
- 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★ 3.7K↓ —
- godot-gdscript-headless-testinggamedev-skills/awesome-gamedev-agent-skillsRun GDScript test suites from the command line with `godot --headless`, using a SceneTree/MainLoop runner script that exits non-zero on failure so CI can gate merges. Use when a Godot project needs unit tests without opening the editor, when wiring a CI job (GitHub Actions or similar) that must fail the build on a failing `.gd` test, or when a `godot --headless` invocation hangs, opens a window, or exits 0 despite failed assertions.TestingNo warnings★ 4.1K↓ —
- render-automationdavepoon/buildwithclaudeAutomate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.MediaNo warnings★ 3.7K↓ —
- 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★ 3.7K↓ —
- tao-run-inference-serviceNVIDIA/skillsStart, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.DevOpsNo warnings★ 3.7K↓ —
- reddit-automationdavepoon/buildwithclaudeAutomate Reddit tasks via Rube MCP (Composio): search subreddits, create posts, manage comments, and browse top content. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- libfuzzertrailofbits/skillsSets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang. Covers harness structure, -fsanitize=fuzzer builds, corpus and dictionary management, sanitizer integration, and campaign triage. Use when writing or debugging an LLVMFuzzerTestOneInput harness, starting fuzzing on a C/C++ library, choosing between libFuzzer and AFL++, or working out why a libFuzzer run finds nothing.MarketingNo warnings★ 7.8K↓ —
- mutation-testingtrailofbits/skillsConfigures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps. Use when setting up mutation testing, reviewing campaign results, identifying equivalent mutants, or finding bugs from surviving mutations.TestingNo warnings★ 7.8K↓ —
yfinance-data
himself65/finance-skills
FinanceUpdated yesterday
From the author
Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.
Install
npx skills add himself65/finance-skills --skill yfinance-data -a claude-code
Installs to .claude/skills/yfinance-data/ · 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 90
Security100
Provenance82
Maintenance100
Licence100
Adoption56
Files (3)
- README.md
- SKILL.md
- references/api_reference.md