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 2 hours ago
49,415 skills
- planning-with-files-deOthmanAdi/planning-with-filesPersistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.PlanningNo warnings★ 27.9K↓ —
- cohort-analysismohitagw15856/pm-claude-skillsStructure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.OtherNo warnings★ 1.5K↓ —
- loopyForward-Future/loopyDiscover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.PlanningNo warnings★ 3.2K↓ —
- 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; lifecycle hooks inject selected project planning context. 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. Optional gated mode can request continuation only when the host supports it 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↓ —
- cloudbase-cliUpdatedTencentCloudBase/CloudBase-AI-ToolkitCloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. Use when deploying cloud functions, CloudRun, storage, NoSQL/MySQL, static hosting, permissions, CORS/domains via tcb; for CI/CD and batch ops; when the user prefers CLI; or as the first-session fallback when CloudBase MCP tools are not loaded yet (after install/config, before IDE restart). Also covers tcb login and site switching (国内站/国际站 via --intl or config isIntl), environment lifecycle (env create/modify/renew/delete/apikey/login/domain), tcb config and cloudbaserc.json sync, log search (logs search, CLS), metric monitoring (monitor), data model and PostgreSQL migrations (db model, db pg migration), sandbox/agent/integration management — do not default to tcb deploy.EngineeringNo warnings★ 1.2K↓ —Also in 5 other repos
- wedding-speechmohitagw15856/pm-claude-skillsA best-man/maid-of-honour/parent wedding toast that actually lands — funny without roasting, moving without syrup, short enough that nobody checks their phone. Use when someone has to give a wedding speech and has either nothing or a dangerous first draft. Produces a 2-4 minute toast built on one good story, plus delivery notes and the three jokes to cut.ProductivityNo warnings★ 1.5K↓ —
- 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; lifecycle hooks inject selected project planning context. 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. Optional gated mode can request continuation only when the host supports it 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↓ —Also in 1 other repo
- navigatehashgraph-online/awesome-codex-pluginsPick the next work in an epic or bead graph; closed is not proven. Use when: asked what is next or whether an epic is done.OtherNo warnings★ 1.5K↓ —Also in 2 other repos
- kling-4-promptingNewhashgraph-online/awesome-codex-pluginsHow to prompt Kling 4 (Kling 4.0, kling_v4) for cinematic AI video that does not look like AI slop: let a strong image model compose every shot, then give Kling 4 two to four key frames and a short director's prompt. Covers reference-to-video inputs (@Image, @Element, @Video, @Voice), multi-shot prompts with seconds, 30-second takes, dialogue in quotes, "no slow motion", lens and film-look lines, prompts that fail and their rewrites, elements that need two photos, the failure fixes (slow motion by default, six fingers, AI-smooth framing, face drift in close-ups) and the exact varg call with the reference route pinned. Use when someone asks how to prompt Kling 4, why Kling 4 looks worse than Seedance 2.5, how to use Kling 4 reference-to-video, elements, multi_prompt or keyframes, or wants a Kling 4 prompt written. For a whole short film use kling-4-keyframe-film; for a 30-second action montage use kling-4-action-montage.MediaNo warnings★ 1.5K↓ —
- skill-sync-publisherhashgraph-online/awesome-codex-pluginsSafely validate, publish, and track a local SKILL.md directory across GitHub, Awesome Codex Plugins, HOL Registry, skills.sh, SkillsMP, LobeHub, ClawHub, and Cursor Directory. Use when the user asks to publish, update, register, or synchronize an agent skill across marketplaces.OtherNo warnings★ 1.5K↓ —
- ui-demohashgraph-online/awesome-codex-pluginsRecord polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.DesignNo warnings★ 1.5K↓ —
- rekallhashgraph-online/awesome-codex-pluginsCompact the current Codex VS Code extension thread through Rekall with a verified handoff and optional one-time continuation. Use on an explicit compaction request or after a substantial completed stage; standalone Codex CLI sessions are unsupported.EngineeringNo warnings★ 1.5K↓ —
- adopthashgraph-online/awesome-codex-pluginsAdd docflow to a repo that already has docs, without rewriting them. Adds missing config, folders, helpers, agent guidance, and an adoption review. Use when docs already exist or doctor recommends adopt.EngineeringNo warnings★ 1.5K↓ —
- oma-pmfirst-fluke/oh-my-agentTurn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.PlanningNo warnings★ 1.4K↓ —
- minutes-recordsilverstein/minutesStart or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.MediaNo warnings★ 1.6K↓ —Also in 1 other repo
- checkhashgraph-online/awesome-codex-pluginsFriendly docflow readiness check: one status, one reason, and the exact next command. Use when asked if docflow is set up, ready, or "what do I do next".OtherNo warnings★ 1.5K↓ —
- cn-level-mappermohitagw15856/pm-claude-skillsCompare job levels (职级) across Chinese technology companies and against international ladders, to judge an offer, a job move or a promotion target: what a level usually means in scope and expectations, how levels roughly line up, and what to ask the recruiter. Use when asked P7 相当于什么级别, 跳槽职级怎么对标, 字节 2-2 对应阿里什么, 这个 offer 的职级合理吗, compare Chinese tech levels, or how does Alibaba P-level map to Google levels. Produces a level comparison built from the person's own ladders and offer details, a scope-and-expectation profile for each level, the negotiation questions to ask, and a clear note on what is approximate.ProductivityNo warnings★ 1.5K↓ —
- initUpdatedhashgraph-online/awesome-codex-pluginsFirst-time Archcore setup. Wires the host (MCP config, hooks, CLAUDE.md/AGENTS.md managed block), measures the authored context the repo already holds, then composes a first-day seed — stack rule, run guide, data-model, integrations, config, entry points, public surface, a linked architecture overview, and specs for the top hotspot modules — shown in ONE preview and created on a single confirm. Modes, named as the first word: init import converts the repo's authored context — CLAUDE.md, AGENTS.md, .cursor/rules and other agent instructions, ADR and RFC folders, contributor docs, internal pages of a published docs site, recoverable git history — into native typed documents with no import marks, staged by a plan when the volume is large; init refresh adds facts that appeared since, or drills into one domain with init refresh <domain>. Use on a fresh clone, empty `.archcore/`, 'set up archcore', 'migrate our CLAUDE.md to archcore', 'import our docs and ADRs', or to wire host configs. Not for individual docs or pPlanningNo warnings★ 1.5K↓ —Also in 1 other repo
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OfficialProductivityNo warnings★ 11.3K↓ —
- resumemohitagw15856/pm-claude-skillsWrite a sharp, achievement-led resume/CV that passes ATS and earns the interview. Use when asked to write or rewrite a resume or CV, turn experience into a resume, or tailor a resume to a job. Produces a clean, single-column, ATS-friendly resume — summary, experience as quantified accomplishment bullets, skills, and education — ready to export as a designed PDF.DocumentsNo warnings★ 1.5K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OfficialScienceNo warnings★ 11.3K↓ —
- year-in-reviewmohitagw15856/pm-claude-skillsRun an honest personal year-in-review and set next year's direction — wins, misses, an energy audit, and one theme, not a resolution list that dies in February. Use when asked for a personal year in review, a yearly reflection, to reflect on the past year, or plan next year. Produces the structured retrospective (what worked, what didn't, what you learned), an energy audit of what gave vs. drained you, the honest misses, and a single theme with a few concrete commitments. Personal, not corporate.EngineeringNo warnings★ 1.5K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OfficialOtherNo warnings★ 11.3K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OfficialMediaNo warnings★ 11.3K↓ —
hipaa-compliance
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
LegalUpdated Oct 10, 2026
From the author
Expert HIPAA compliance assistant for healthcare and software contexts. Use this skill whenever the user mentions HIPAA, PHI (Protected Health Information), ePHI, covered entities, business associates, healthcare data privacy, medical records, health information security, BAA (Business Associate Agreements), or any compliance review involving patient data. Also trigger for requests to draft privacy notices, HIPAA policies, consent forms, security risk assessments, or breach notification letters. Use for developers building healthcare software who need technical safeguard guidance (encryption, access controls, audit logs), compliance officers reviewing documents or procedures, and anyone asking "is this HIPAA compliant?" or "what does HIPAA require for X?". When in doubt about whether a healthcare or data privacy question falls under this skill — use it.
Install
npx skills add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill hipaa-compliance -a claude-code
Installs to .claude/skills/hipaa-compliance/ · 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 (5)
- SKILL.md
- references/breach-notification.md
- references/privacy-rule.md
- references/security-rule.md
- references/templates.md