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 36 minutes ago
48,362 skills
- ops-inspectorTencentCloudBase/CloudBase-AI-ToolkitAIOps-style CloudBase inspection skill. Use when users need health checks, log diagnosis, alarm interpretation (CPU alert normal?, peak QPS), metrics via queryEnv(action=metrics), fault playbooks for 429 / AI model 429 / function timeout / function 404 / ACCESS_TOKEN_INVALID / zero invocations, or a scheduled patrol that reports only new or worse findings. Triggers on 巡检, 诊断, 告警, 峰值 QPS, 限频, 调用量为 0, 定时巡检, 每天检查, 值守, troubleshooting.OtherNo warnings★ 1.2K↓ —
- analyticsmicrosoft/power-platform-skillsUse when a Process Mining overview, initial process selection, or an analytical follow-up needs routing.DataNo warnings★ 1.1K↓ —
- setup-app-insightsmicrosoft/power-platform-skillsConfigure optional customer-owned Application Insights telemetry for a Power Apps mobile app — enable it against an existing Azure resource, change the resource, or disable it. Standalone, and invoked by /edit-app.DevOpsNo warnings★ 1.1K↓ —
- brand-ideationrampstackco/claude-skillsGenerate, 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.PlanningNo warnings★ 1K↓ —
- render-cgi-sizzlegooseworks-ai/goose-skillsAssemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices) plus PIL compositing of the REAL App Store screenshots onto the bezel + burst-out overlays, driven by Kling 3.0 i2v steady-float per beat with a per-beat Ken-Burns FFmpeg push-in fallback when Kling garbles the UI, then VO/music mix (sidechain duck, loudnorm) + 1.15x speed + anti-AI grain finalize. The on-screen UI, any faces in it, and the wordmark are ALWAYS real assets composited via PIL — never AI-rendered. The paid steps (plates, i2v clips, VO, music) are separate capabilities; this ships the config + PIPELINE + FREE assembly and the recipe orchestrates the spend. Use for the cgi-app-sizzle video format.MediaNo warnings★ 1.3K↓ —
- save-learninggooseworks-ai/goose-skillsShared step of the marketing playbooks (make-static-ads, analyze-performance, email-lifecycle, write-outreach): saves a short brand rule or finding in the human's own words, one idea per rule, retires the playbook's own older rules it replaces, and reads the result back to confirm. Loaded by those playbooks; not for direct use.MarketingNo warnings★ 1.3K↓ —
- minutes-searchsilverstein/minutesSearch past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".PlanningNo warnings★ 1.6K↓ —Also in 1 other repo
- interviewalirezarezvani/claude-skillsUse when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.PlanningNo warnings★ 29.2K↓ —
- slo-checkhoangsonww/Claude-Code-Agent-MonitorDefine and check simple service-level objectives for Claude Code from Agent Monitor data — session completion rate, tool success rate (PostToolUse/PreToolUse), and error rate (APIError/total) — then compare each to its target and report the error budget remaining. Use when reporting reliability or when someone asks "are we meeting our SLOs?".EngineeringNo warnings★ 1.1K↓ —
- time-of-dayhoangsonww/Claude-Code-Agent-MonitorDiscover when you are most active and most productive with Claude Code by bucketing sessions and events into hour-of-day and day-of-week bins from their timestamps, then flagging peak versus low-output windows. Uses the session list, per-session events, and analytics daily trends. Use when planning a schedule or deciding when to do deep work versus lighter tasks.DataNo warnings★ 1.1K↓ —
- nostr-vpnmmalmi/nostr-vpnConnect an authorized machine to a Nostr VPN private mesh, review device join requests, and verify access with the nvpn CLI. Use for account-free private networking between agent hosts, people, and servers.EngineeringNo warnings★ 1.2K↓ —
- hsb-appNVIDIA/skillsDiscover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.WritingNo warnings★ 3.8K↓ —
- kdd-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a KDD paper into the venue's register, where the first page names a data regime, a mechanism, and scale evidence, efficiency adjectives trace to design decisions, and two-column sigconf pages punish sprawl. Covers Research vs ADS voice, dataset-size discipline, assertive contribution bullets, and 8-page compression.WritingNo warnings★ 1.4K↓ —
- ipsn-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IPSN-lineage evaluations, covering real testbeds and deployments, ground-truth instrumentation, energy/latency/footprint measurement on real hardware, on-device/TinyML profiling, estimation-theoretic baselines and bounds, and matching evidence to the shape of each sensing claim across the IP and SPOTS tracks.DevOpsNo warnings★ 1.4K↓ —
- lancet-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure and hold the length of a Lancet Article main text — Introduction, Methods, Results, Discussion (~3000–3500 words), the Research in context panel, a limited reference list (~30), and a cautious, globally minded Discussion that does not overstate.WritingNo warnings★ 1.4K↓ —
- chaos-engineeringalirezarezvani/claude-skillsUse before running a chaos experiment, gameday or fault injection, or after one to write it up. Designs it with steady state and abort criteria in experiment_designer.py, sizes the blast radius with blast_radius_calculator.py and drafts the postmortem.WritingNo warnings★ 29.2K↓ —
- imc-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising the prose of an ACM IMC measurement paper, covering the first-page measurement finding, making vantage points and methodology auditable, longitudinal framing for a moving Internet, arguing limitations rather than reciting them, writing the Ethics section early, and acmart page-budget discipline.WritingNo warnings★ 1.4K↓ —
- icse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ICSE research-track paper, covering subject and benchmark selection, baseline fairness, statistical tests and effect sizes as SE reviewers expect them, qualitative-methods rigor, ablations for AI-based techniques, and threats-driven study design.TestingNo warnings★ 1.4K↓ —
- icdm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation for an ICDM (IEEE International Conference on Data Mining) paper - mining-task definition, strong and fairly-tuned baselines, ablations that isolate the named mechanism, scalability curves that test scale claims, and discovery-validity checks that separate real findings from evaluation artifacts.TestingNo warnings★ 1.4K↓ —
- icra-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental section of an ICRA paper — real-robot versus simulation-only evidence, trial counts and success-rate reporting, task distributions and resets, baseline fairness on shared hardware, sim-to-real transfer claims, failure-mode analysis, and the statistics robotics reviewers actually expect.ScienceNo warnings★ 1.4K↓ —
- focs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.MediaNo warnings★ 1.4K↓ —
- hri-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when planning the supplementary materials for an ACM/IEEE HRI full paper — above all the video figure that shows the embodied interaction, plus study instruments, extended results, and appendices — deciding what a reviewer must see to judge the interaction versus what belongs outside the 8-page body, all anonymized for double-blind review.MediaNo warnings★ 1.4K↓ —
- fse-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ESEC/FSE paper body versus its anonymized artifact and appendices, covering the ACM-template page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-anonymous supplementary material, and how to split an empirical-SE paper between body and package.ScienceNo warnings★ 1.4K↓ —
- reflectalirezarezvani/claude-skillsUse when the user says 'step back', 'zoom out', 'are we on track' or 'sanity check this', or work has gone deep into details without a check on direction. Reassesses direction, assumptions and bias across five dimensions.OtherNo warnings★ 29.2K↓ —Also in 1 other repo
codebase-onboarding
alirezarezvani/claude-skills
UpdatedPlanningUpdated 12 hours ago
From the author
Explain an unfamiliar repo: architecture brief and onboarding docs. Use whenever someone is new to a codebase, asks how a project is structured or where to start reading.
Install
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding -a claude-code
Installs to .claude/skills/codebase-onboarding/ · 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
Safety checks on SKILL.md
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Security85
Provenance94
Maintenance100
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Files (4)
- SKILL.md
- references/onboarding-template.md
- references/output-format-templates.md
- scripts/codebase_analyzer.py