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.
49,417 skills from 2,407 repositories · updated 21 minutes ago
49,415 skills
- agentdock-user-guideuvwt/agentdock当用户询问 AgentDock 是什么、如何使用、配置在哪里、不同平台或安装方式怎样修改配置并生效、如何重启或验证配置、如何发现并配置 Codex/Claude/Grok 等 Coding Agent 的 ACP，以及常见运行问题时使用；覆盖 macOS Desktop、Windows Desktop、Linux 服务、Docker 和直接运行二进制，不用于源码开发与贡献流程。DevOpsNo warnings★ 1.3K↓ —
- magentshashgraph-online/awesome-codex-pluginsTalk to other coding agents on this machine (Claude Code, Codex, Copilot, Cursor, Gemini, AGY, Grok, OpenCode) through the magents MCP. Use when the user asks what another agent was working on, wants to carry on that work, send them a message, start an independent agent session, or check the shared inbox. Prefer magents MCP tools over hunting session files on disk.EngineeringNo warnings★ 1.5K↓ —
- docs-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Documentation Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Documentation Page.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; 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↓ —
- workhashgraph-online/awesome-codex-pluginsUse for execution, debugging, verification, planning, and shipping when the user's Emulo working profile should guide the task. Do not use for design/UI/UX work, marketing or social writing, or Emulo setup/mining.DesignNo warnings★ 1.5K↓ —Also in 2 other repos
- dispatch-authoringrampstackco/claude-skillsWrite the structured handoff from a planning session to a coding agent: a dispatch with a header, Gate 0 checks, scope, specification, verification, delivery rules, and stop conditions, so the agent can execute unattended and return a reviewable draft PR. Use this skill whenever the user wants to hand work to an agent, write an agent brief, write instructions for Claude Code, Codex, or a Cursor agent, queue work to run overnight, or turn a plan into something an AI coder can execute without asking questions. Triggers on dispatch, hand off to an agent, agent brief, agent handoff, task brief for an AI coder, instructions for Claude Code, Codex task, Cursor agent, background agent, run this overnight, give this to an agent, unattended run. Also triggers when the user has a plan or a spec and asks how to get an agent to build it, even if they never say dispatch.WritingNo warnings★ 1K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.WritingNo warnings★ 1.3K↓ —
- 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
- skill-installationuvwt/agentdock审查、安装、配置、验证、更新和移除 AgentDock Skill 时使用；负责来源校验、安全评估、环境配置、content digest、精确 skill_ref 与当前 managed 内容验收。OtherNo warnings★ 1.3K↓ —
- pods-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM PODS project timeline across its multiple submission cycles per year, from venue fit through the EasyChair abstract-then-paper deadlines, the 48-hour rebuttal, the accept/reject/revision decision and shepherded revision round, PACMMOD-track publication, the arXiv full version, and presentation — with backward-planning offsets for a theory paper and honest handling of cycle choice.ProductivityNo warnings★ 1.4K↓ —
- corl-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.DocumentsNo warnings★ 1.4K↓ —
- content-factoryhuytieu/COG-second-brainAutonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishingOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- ponderNewhashgraph-online/awesome-codex-pluginsConvergent multi-pass deliberation and code review ledger that enumerates units, grades every unit against a lens rubric, runs four-perspective deliberation (Skeptic, Builder, Dreamer, Empath), records append-only finding deltas, verifies phantom-unit removals across all historical paths, and enforces 1.00 coverage and zero-churn convergence before stopping. Use when the user says "ponder <anything>" ("ponder the UI", "ponder our error handling", "ponder this PR"), "run a ponder audit", "grade every unit with the ponder ledger", "run four-voice Skeptic/Builder/Dreamer/Empath deliberation", or asks for a coverage-gated multi-pass lens audit across files or screens where stopping early would miss units. Also use to resume or recover a ponder session in flight - "where were we in the ponder", "carry on pondering", or an existing .ponder/ directory - by running ponder status rather than starting over.DesignNo warnings★ 1.5K↓ —
- 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↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ScienceNo warnings★ 1.3K↓ —
- grantsalirezarezvani/claude-skillsUse for any NIH funding question ('find grants for my research', 'which NIH institute'). Maps the idea to institutes, study sections and NOSIs via RePORTER, matches mechanisms with mechanism_matcher.py and writes a .docx strategy. NIH only.DocumentsNo warnings★ 29.3K↓ —
- 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↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ScienceNo warnings★ 1.1K↓ —
- calculator-designrampstackco/claude-skillsDesigning interactive calculators (ROI calculators, pricing estimators, savings projections, mortgage calculators, custom assessments) that deliver real decision-support value while serving as lead magnets and qualified-traffic generators. Honest about vanity-calculator (no real value), lead-trap (hides the answer behind email), and transparent-decision-tool (gives the result and earns the email through tiered value) patterns. Triggers on calculator, ROI calculator, pricing estimator, savings calculator, custom calculator, interactive tool, decision tool, financial calculator. Also triggers when an audience needs a calculation-driven lead magnet, when a vanity calculator is producing leads but no qualified ones, or when a calculator is being scoped for the first time.DesignNo warnings★ 1K↓ —
- wrap-upalirezarezvani/claude-skillsUse when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.OtherNo warnings★ 29.3K↓ —
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OfficialEngineeringNo warnings★ 11.3K↓ —
- tddhashgraph-online/awesome-codex-pluginsTest-Driven Development enforcer. Red→Green→Refactor cycle with no production code without a failing test first. Use for new features and bug fixes.TestingNo warnings★ 1.5K↓ —
- feature-flaggingrampstackco/claude-skillsOperational discipline for feature flags as production infrastructure. Flag types, naming, targeting rules, rollout strategy, lifecycle, governance, stale flag management, and the technical debt patterns that bite teams who weren't deliberate about it.DevOpsNo warnings★ 1K↓ —
reflect
hashgraph-online/awesome-codex-plugins
NewWritingUpdated 14 hours ago
From the author
Mine this session's transcript for lessons that will still hold in six months and turn each into an edit to a skill the session used, applied only after the user approves. Use at the end of a session, or on "reflect", "what should we learn from this", "capture lessons".
Install
npx skills add hashgraph-online/awesome-codex-plugins --skill reflect -a claude-code
Installs to .claude/skills/reflect/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance78
Maintenance100
Licence100
Adoption51
Files (3)
- SKILL.md
- references/reviewer-briefs.md
- references/synthesizer-brief.md