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.
49,105 skills from 2,358 repositories · updated 12 hours ago
48,055 skills
- fix-what-i-pointed-atreticlehq/reticlePick up the bugs a human flagged by pointing at them in the running app, each arriving with the element, the note they typed, and the source file and line. Use when the user says they marked or flagged something, when starting a session on an app someone has been clicking through, when a designer or PM has left feedback in the UI, or when the user describes a problem as "that button there" without saying which file.DesignNo warnings★ 1.3K↓ —
- isca-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ISCA paper — pinning simulator fidelity to the claims it must carry, documenting gem5-class configurations and sampling choices, selecting workload suites that represent the claim's domain, tuning baselines in good faith, and separating architectural effect from modeling artifact.ScienceNo warnings★ 1.4K↓ —
- ux-designdaveebbelaar/bamaUX pass for one feature of a macOS app, covering names, flow, where it opens (inline, popover, sheet, window, alert), states, words, hover help, accessibility, and AI features. Use before coding a story that adds a screen, an action, or text, when user-stories or improve-loop call it, or when the user asks for a UX review, clearer wording, better names, or whether something should be a modal.DesignNo warnings★ 1.4K↓ —
- pinme-r2glitternetwork/pinmeUse when a PinMe Cloudflare Worker needs R2 object storage, including secure file or image upload, streaming download, metadata lookup, deletion, listing, Range requests, or R2+D1 coordination. Guides AI to use PinMe's automatically injected env.R2 binding without R2 credentials or manual Wrangler configuration.DevOpsNo warnings★ 3.8K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.ScienceNo warnings★ 1.4K↓ —
- hri-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ACM/IEEE HRI full paper's structure and prose for an interdisciplinary audience — leading with the human-robot contribution and research questions, making hypotheses and measures explicit, describing the robot embodiment, keeping claims proportional to the study within the 8-page acmart budget, and writing so the chosen track's contribution type is unmistakable.WritingNo warnings★ 1.4K↓ —
- web-perffcakyon/claude-codex-settingsAudit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.OtherNo warnings★ 1.2K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ScienceNo warnings★ 1.4K↓ —
- os-integrationsdaveebbelaar/bamaDeep macOS integrations for a native app, such as global hotkeys, menu bar items, floating panels, window control with Accessibility, screen capture and recording, clipboard, Shortcuts and Spotlight, URL schemes, login items, a CLI, and the permissions each one needs. Use when an app must reach outside its own window or control other apps.EngineeringNo warnings★ 1.4K↓ —
- asc-localize-metadatarorkai/app-store-connect-cli-skillsAutomatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.EngineeringNo warnings★ 1.1K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.WritingNo warnings★ 1.4K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ScienceNo warnings★ 1.4K↓ —
- metronomefcakyon/claude-codex-settingsGuides Metronome usage-based billing integration decisions — event ingestion (single and batch, idempotency, billable metrics), contract design (rate cards, overrides, dimensional pricing, products), invoicing lifecycle (grace periods, finalization, Stripe sync), credit and commit management (prepaid, postpaid, thresholds, auto-recharge), and Stripe integration (arrears invoicing, tax providers, line item limits). Use when building, modifying, or reviewing any Metronome integration — including ingesting usage events, creating customers, contracts, or rate cards, designing billable metric group keys, managing credits and commits, configuring invoicing, syncing invoices with Stripe Billing, billing AI applications for token usage, setting up self-serve (PLG) pricing, reviewing customer health, commit burn, portfolios, or renewals, or migrating from Stripe Billing Meters to Metronome.DesignNo warnings★ 1.2K↓ —
- edbt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself is the contribution.DataNo warnings★ 1.4K↓ —
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsNo warnings★ 1.4K↓ —
- cscw-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.DevOpsNo warnings★ 1.4K↓ —
- s3itsmostafa/aws-agent-skillsAWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.DevOpsNo warnings★ 1.2K↓ —
- cav-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tables live, and double-anonymous supplementary material for the anonymized categories.ScienceNo warnings★ 1.4K↓ —
- minutes-mcp-recallsilverstein/minutesRoute meeting-recall questions to the right Minutes MCP tool.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.OtherNo warnings★ 1.4K↓ —
- asc-app-create-uirorkai/app-store-connect-cli-skillsCreate a new App Store Connect app record via browser automation. Use when there is no public API for app creation and you need an agent to drive the New App form.DesignNo warnings★ 1.1K↓ —
- oma-debugfirst-fluke/oh-my-agentBug diagnosis and fixing specialist - analyzes errors, identifies root causes, provides fixes, and writes regression tests. Use for bug, debug, error, crash, traceback, exception, and regression work.EngineeringNo warnings★ 1.4K↓ —
- second-brain-writeundefined-ui/second-brain-osDraft from the vault: outline from concept pages, keep citations to the user's own sources, and surface where their material disagrees. Use this skill when the user wants to write an article, post, essay or newsletter based on what they have collected, or asks what they could write about a topic. Do NOT use for research reports, for writing with no grounding in the vault, or for editing text the user wrote themselves unless asked.WritingNo warnings★ 1.2K↓ —
- chi-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when interpreting the ACM CHI Papers review pipeline — 1AC and 2AC roles, the A/ARR/RR/RRX/X recommendation scale, desk-reject and rubric-based assisted desk-reject screening, the revise-and-resubmit threshold, round-2 PC decisions — and what each stage means for authors.EngineeringNo warnings★ 1.4K↓ —
beta-program-management
rampstackco/claude-skills
TestingUpdated Oct 27, 2026
From the author
Running closed and open betas that produce real signal. Beta participant selection, structured feedback collection, beta-to-GA decision criteria, and the difference between soft-launch (no structure, no signal), kitchen-sink (everyone in, no actionable feedback), and structured beta (calibrated cohort, intentional feedback loops, clear graduation criteria). Triggers on beta program, alpha test, beta cohort, beta participant, beta feedback, beta to GA decision, design partner, early access program, closed beta, open beta, RC release. Also triggers when a feature is approaching launch and the team needs structured pre-GA validation, when prior betas produced noise rather than signal, or when the team has soft-launched before but wants more structured feedback this time.
Install
npx skills add rampstackco/claude-skills --skill beta-program-management -a claude-code
Installs to .claude/skills/beta-program-management/ · 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
Provenance76
Maintenance100
Licence100
Adoption49
Files (11)
- README.md
- SKILL.md
- references/beta-onboarding-templates.md
- references/beta-to-ga-graduation-criteria.md
- references/beta-type-decisions.md
- references/beta-wind-down-communication.md
- references/cohort-sizing-patterns.md
- references/common-beta-failures.md
- references/feedback-collection-patterns.md
- references/mid-beta-triage-and-iteration.md
- references/participant-selection-criteria.md