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.
48,622 skills from 2,355 repositories · updated 18 hours ago
48,622 skills
- navan-debug-bundlejeremylongshore/tons-of-skills-marketplaceAssemble a content-free Navan integration support bundle for operators or vendor escalation. Use when triage needs reproducible evidence. Trigger with "collect Navan diagnostics", "Navan support bundle", or "sanitize Navan logs".EngineeringNo warnings★ 2.9K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 98.9K↓ —
- solana-vulnerability-scannertrailofbits/skillsScans Solana programs for 6 critical vulnerabilities including arbitrary CPI, improper PDA validation, missing signer/ownership checks, and sysvar spoofing. Use when auditing Solana/Anchor programs.SecurityNo warnings★ 7.9K↓ —
- asana-automationdavepoon/buildwithclaudeAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- lindy-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow patterns. Trigger with phrases like "lindy hello world", "lindy example", "lindy quick start", "simple lindy agent", "first lindy".TestingNo warnings★ 2.9K↓ —
- miro-automationdavepoon/buildwithclaudeAutomate Miro tasks via Rube MCP (Composio): boards, items, sticky notes, frames, sharing, connectors. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- vastai-rate-limitsjeremylongshore/tons-of-skills-marketplaceDiagnose and design bounded Vast.ai CLI and REST traffic around per-endpoint, per-identity rate limits and the absence of Retry-After headers. Use when implementing polling, batch automation, or 429 recovery. Trigger with: "handle Vast.ai 429", "reduce Vast.ai polling", "set Vast.ai retry policy".DesignNo warnings★ 2.9K↓ —
- auth-patternsdavepoon/buildwithclaudeThis skill should be used when the user asks about "authentication in Next.js", "NextAuth", "Auth.js", "middleware auth", "protected routes", "session management", "JWT", "login flow", or needs guidance on implementing authentication and authorization in Next.js applications.OtherNo warnings★ 3.7K↓ —
- earnings-previewhimself65/finance-skillsBuild a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a ticker comes up in the context of upcoming earnings, even without the word "preview". For results that are already out, use earnings-recap.FinanceNo warnings★ 3.5K↓ —
- wiki-updateAr9av/obsidian-wikiSync knowledge from the current project into the Obsidian wiki. Use when work already in the current project should be distilled into the vault; named-vault routing includes @work update wiki. wiki-capture saves the current conversation and wiki-ingest handles external/new sources.ProductivityNo warnings★ 3.6K↓ —
- wiki-digestAr9av/obsidian-wikiProduce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Use for readable recent-learning summaries; wiki-status reports source and ingestion state instead.ProductivityNo warnings★ 3.6K↓ —
- contract-comparejeremylongshore/tons-of-skills-marketplaceCompare two contract versions with clause-level evidence, coverage limits and qualified analysis of possible effects for the identified parties. Use when reviewing a revised contract or redline. Trigger with "contract-compare" or "compare these two contracts".LegalNo warnings★ 2.9K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignNo warnings★ 3.7K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.7K↓ —
- 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↓ —
- markdown-mermaid-writingforyourhealth111-pixel/Vibe-SkillsComprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard. Use this skill when creating ANY scientific document, report, analysis, or visualization — it ensures all outputs are in version-controlled, token-efficient markdown with embedded Mermaid diagrams as the source of truth, with clear pathways to downstream Python or AI-generated images. Includes full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates ready to use.WritingNo warnings★ 3.8K↓ —
- tao-train-pointpillarsNVIDIA/skillsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".MediaNo warnings★ 3.8K↓ —
- doca-debugNVIDIA/skillsUse this skill when the user is debugging any DOCA symptom — a build that won't compile, a link step that can't resolve a doca_* symbol, a runtime call returning DOCA_ERROR_*, a silent service or tool, or a stack trace / valgrind / core dump — and needs the layered ladder (install → version → build → link → runtime → program → driver), verbosity controls (--sdk-log-level, DOCA_LOG_LEVEL, the doca-{lib}-trace flavor), container-debug constraints, or how to capture state for a Developer Forum post. Trigger even when the user does not say "DOCA debug" — implicit phrasings include "undefined reference to doca_*", "how do I get more logs", "packets aren't reaching the wire", "doca_caps returned nothing", or "hugepages empty in the container". Refuse and route elsewhere for library-specific debug (Flow pipe trace, RDMA QP, Comch stats), env-class pkg-config or hugepages symptoms, the DOCA_ERROR_* taxonomy and lifecycle interpretation, and performance or incident-response work — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- validate-pluginjeremylongshore/tons-of-skills-marketplaceValidate a Claude Code plugin directory against the official Anthropic spec and Intent Solutions enterprise standard. Runs structural validation (plugin.json fields, file references, permissions) and content validation (SKILL.md grading, command/agent frontmatter). Use when building a new plugin, preparing for marketplace submission, or auditing existing plugins. Trigger with "validate this plugin", "check plugin structure", "grade my plugin", "/validate-plugin".PlanningNo warnings★ 2.9K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanningNo warnings★ 3K↓ —
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.OtherNo warnings★ 7.9K↓ —
- dwarf-experttrailofbits/skillsAnalyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).WritingNo warnings★ 7.9K↓ —
- brandkitplugin87/ux-ui-agent-skillsGenerate a complete, accessible brand design system from a brief, as primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css, verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.DesignNo warnings★ 3.1K↓ —
- skill-positioning-analysisZJU-REAL/Easel差异化定位分析：帮账号/品牌找到差异化定位——扫描赛道、给竞品定位坐标、识别空白机会、 从人群/场景/价值/形式/人设多维找差异点，凝练一句话定位并给落地建议。当用户说"差异化定位" "怎么和竞品区分""我的定位是什么""找差异化""赛道分析""定位分析""怎么突出""同质化怎么办" "找我的独特点"时使用。OtherNo warnings★ 4.3K↓ —
coverage-analysis
trailofbits/skills
MarketingUpdated 5 days ago
From the author
Measures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output. Covers baselining a new campaign, reading coverage reports, and turning uncovered regions into harness, seed, or dictionary work. Use when a fuzzer plateaus, when judging whether a harness is effective, after changing a harness, or when asking why some code is never reached.
Install
npx skills add trailofbits/skills --skill coverage-analysis -a claude-code
Installs to .claude/skills/coverage-analysis/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (CC-BY-SA-4.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: CC-BY-SA-4.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance87
Maintenance100
Licence80
Adoption61
Files (3)
- SKILL.md
- agents/openai.yaml
- assets/trail-of-bits-mark.svg