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.
49,415 skills from 2,407 repositories · updated 3 hours ago
49,415 skills
- oma-debugUpdatedfirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.EngineeringNo warnings★ 1.4K↓ —Also in 4 other repos
- second-brain-lintundefined-ui/second-brain-osAudit a second-brain vault for structural problems and repair them: broken wikilinks, orphan pages, empty stubs, frontmatter that violates the schema, near-duplicate pages, and stale index entries. Use this skill whenever the user asks to lint, clean, audit or check the health of their vault, says pages feel messy or links are broken, after a large bulk import, or when a scheduled maintenance run fires. Do NOT use for ingesting new sources, for answering questions from the vault, or for rewriting page content that is structurally fine but reads badly.OtherNo warnings★ 1.4K↓ —
- delegation-audithoangsonww/Claude-Code-Agent-MonitorAudit model delegation and subagent effectiveness for a session — which models handled which subagent types, per-type success rates and average durations, and wasted delegations (heavy models on trivial work or types that consistently fail) — using the Agent Monitor workflow intelligence API. Use when reviewing how a session delegated work across models and subagents.EngineeringNo warnings★ 1.1K↓ —
- rfp-responderalirezarezvani/claude-skillsUse when an RFP, RFI, RFQ or security or vendor questionnaire arrives. Parses mandatory vs weighted requirements with rfp_parser.py, drafts proof-point answers with response_drafter.py and estimates win chance with winrate_predictor.py.SecurityNo warnings★ 29.3K↓ —
- setupfcakyon/claude-codex-settingsThis skill should be used when user encounters "ADC not found", "gcloud auth error", "GCloud MCP error", "Application Default Credentials", "project not set", or needs help configuring GCloud integration.OtherNo warnings★ 1.2K↓ —
- oma-voiceUpdatedfirst-fluke/oh-my-agentGenerate or transcribe speech with Voicebox or VoiceStudio, or process existing audio locally. Use for narration, transcripts, timed speech, and loudness conversion; video editing uses oma-video.MediaNo warnings★ 1.4K↓ —Also in 2 other repos
- oma-securityfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecurityNo warnings★ 1.4K↓ —
- dac-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM/IEEE Design Automation Conference (DAC) Research-Manuscript submission for Softconf readiness, covering the two-stage abstract-then-manuscript deadline, the 6+1-page ACM double-column page budget with its references-only last page, the double-blind anonymization sweep, TPC conflict-of-interest declaration, and desk-reject triage before the mid-to-late-November cutoff.DesignNo 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↓ —
- 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↓ —
- second-brain-reportundefined-ui/second-brain-osProduce a research report from the vault: scope the question against existing pages, name the gaps, and write findings with citations, disagreements and limits. Use this skill when the user asks for a research report, a deep write-up on a topic, or wants to understand a subject thoroughly using what they have collected. Do NOT use for a quick answer from the vault, for drafting an article in the user's voice, or for summarising a single source.ScienceNo warnings★ 1.4K↓ —
- second-brain-projectundefined-ui/second-brain-osSet up or update a project in the vault: the four-stage folder pipeline, a project-scoped CLAUDE.md with one goal, and links to the concept pages it depends on. Use this skill when the user starts something new they will work on over time, says "create a project", "set up a folder for X", or asks to define the goal and structure of ongoing work. Do NOT use for one-off tasks, for wiki pages about a topic, or for scoping an existing project down to work in it.ProductivityNo warnings★ 1.4K↓ —
- kdd-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a KDD paper across its 8 content pages, the optional appendix after the references, and the cited repository, under the camera-ready rule capping references plus appendix at 3 of 12 pages. Covers appendix triage, reviewer-discretion reality, and the one-page cross-cycle resubmission change summary.ScienceNo warnings★ 1.4K↓ —
- nsdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.DevOpsNo warnings★ 1.4K↓ —
- pods-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.ScienceNo warnings★ 1.4K↓ —
- research-audience-signals-and-hooksgooseworks-ai/goose-skillsFor a list of companies, finds dated, linked timing signals from the last 90 days (funding, new leaders, hiring, launches), drops stale ones and noise, scores timing, and gives one personal hook per person from their recent public work. Facts only, no message copy. Use alone when you already have the company list and, for hooks, the people; otherwise run research-audience.ScienceNo warnings★ 1.3K↓ —
- socc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ACM SoCC evaluations, covering real or realistic deployments over simulation, production or representative workloads and traces, tail-latency and cost as first-class metrics, fair tuned baselines, scale and multi-tenancy behavior, reproducible measurement pipelines, and matching evidence to the shape of each cloud claim.DevOpsNo warnings★ 1.4K↓ —
- second-brain-mergeundefined-ui/second-brain-osMerge two pages that describe the same thing, preserving every distinct claim, redirecting inbound links, and recording the merge. Use this skill when the user approves a duplicate merge, says "these are the same page", "merge X into Y", or asks to clean up near-duplicates that a lint run proposed. Do NOT use to merge pages on your own judgement, to delete a page outright, or to split one page into several.OtherNo warnings★ 1.4K↓ —
- stoc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.MediaNo warnings★ 1.4K↓ —
- agent-ai-codingw8123/EnterpriseAgentFrameworkCreate, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the Agent AI Coding REST API. Use when an AI coding tool is asked to add an Agent, configure its model or prompt, bind a Skill, remove a Skill binding, or attach a published Workflow as a Tool.EngineeringNo warnings★ 1K↓ —
- setupmicrosoft/power-platform-skillsUse when Process Intelligence needs building, explicit cloud/account/environment configuration, sign-in, connection diagnostics, or recovery from an authentication error.OtherNo warnings★ 1.1K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- vldb-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.ScienceNo warnings★ 1.4K↓ —
- wacv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing WACV experiments, covering Applications-track systems evidence (latency, power, robustness under real constraints) versus Algorithms-track matched-baseline novelty, comparative assessment under the deployed condition, uncertainty over seeds and sessions, ablations, and evidence that survives the two-round review.DevOpsNo warnings★ 1.4K↓ —
email-lifecycle-offer-math
gooseworks-ai/goose-skills
ProductivityUpdated Oct 27, 2026
From the author
Prices 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.
Install
npx skills add gooseworks-ai/goose-skills --skill email-lifecycle-offer-math -a claude-code
Installs to .claude/skills/email-lifecycle-offer-math/ · 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
Provenance77
Maintenance100
Licence100
Adoption50
Files (2)
- SKILL.md
- skill.meta.json