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 50 minutes ago
49,415 skills
- designhashgraph-online/awesome-codex-pluginsUse for UI, UX, visual hierarchy, frontend-design judgment, references, redesigns, and design critique when the user's Emulo taste should guide the task. Do not use for unrelated execution or marketing/social writing alone.DesignNo warnings★ 1.5K↓ —Also in 2 other repos
- doca-ethNVIDIA/skillsUse this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. `doca_eth_rxq` and `doca_eth_txq` are two Core contexts; one `doca_ctx_start()` does not cover both. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.EngineeringNo warnings★ 3.9K↓ —
- isca-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a full ISCA campaign on a calendar — working back from the expected mid-November abstract and paper deadlines to freeze simulation evidence in time, staffing the winter two-round review wait, preparing for the February-March rebuttal and revision window, and branching to camera-ready, artifacts, and the June conference.ProductivityNo warnings★ 1.4K↓ —
- add-pdf-reportmicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for app-generated PDF report workflows using expo-print and, when present, expo-sharing.DocumentsNo warnings★ 1.1K↓ —
- bug-triage-packmohitagw15856/pm-claude-skillsTriage a raw bug report into something a team can act on — clean repro steps, a defensible severity/priority, environment, likely area/owner, and duplicate check. Use when asked to triage this bug, set severity and priority, is this a P1, or clean up this bug report for the backlog. Produces the normalized repro, a severity and priority with the reasoning (impact × frequency × workaround), the environment/metadata, a suspected component and owner queue, and a duplicate/related-issue check — flagging when info is missing rather than guessing.OtherNo warnings★ 1.5K↓ —
- imc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM IMC submission for HotCRP readiness, covering the paper-registration step, the acmart template with BBL upload, the full/short page limits, double-blind anonymity including vantage-point details, the mandatory Ethics section, the artifact-availability declaration, cycle choice, and desk-reject triage before the AoE cutoff.ScienceNo warnings★ 1.4K↓ —
- reading-livekit-docsfcakyon/claude-codex-settingsLooks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP server and the `lk docs` CLI.WritingNo warnings★ 1.2K↓ —Also in 1 other repo
- nejm-abstractbrycewang-stanford/Awesome-Journal-SkillsUse to write the NEJM structured abstract — four headed sections (Background, Methods, Results, Conclusions), ≤250 words, with the trial registration number and funding source, leading the Results with the primary outcome reported as an effect size with a 95% CI. Late-stage polish skill.WritingNo warnings★ 1.4K↓ —
- assign-offline-profilemicrosoft/power-platform-skillsUse when the user needs to bind users or teams to a Mobile Offline Profile so they actually receive offline sync on their devices. Without this, the profile exists in Dataverse but no one's app uses it.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↓ —Also in 1 other repo
- mind-workflowbrycewang-stanford/Awesome-Journal-SkillsUse as the entry point for any Mind (philosophy journal) article. Routes to the right Mind sub-skill based on where you are in the lifecycle and whether the piece is an article, discussion note, book review, or critical notice. Mind is analytic philosophy — argument, not data — so the router's first job is to confirm there is a sharp thesis and a sound argument. It dispatches; it does not draft content.ProductivityNo warnings★ 1.4K↓ —
- all-hands-deckmohitagw15856/pm-claude-skillsBuild an all-hands that lands with everyone from intern to VP — the mixed-altitude structure (the story for all, the numbers for some), the wins-with-names section done right, the hard-news slide handled straight, and the Q&A design that gets real questions. Use when asked build the all-hands deck, make the monthly town hall not boring, how do we share the numbers with everyone, or announce this change at all-hands. Produces the segment structure, the altitude-mixed content rules, the hard-news handling, and the Q&A mechanics.DocumentsNo 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↓ —
- 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↓ —
- 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↓ —
- pldi-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a PLDI campaign across its annual clock — backward-planning from the November deadline through winter reviewing, the February response window, March notification, post-acceptance artifact evaluation, PACMPL production, and the June conference, with owners for each deliverable.ProductivityNo warnings★ 1.4K↓ —
- casefilehashgraph-online/awesome-codex-pluginsUse when tracking security investigations, bug bounty findings, CTF leads, audit evidence, exploit chains, dead ends, or reports in the Casefile ledger through Codex.SecurityNo warnings★ 1.5K↓ —
- ndss-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an NDSS submission calendar — choosing between the summer and fall cycles, backward-planning from the AoE deadline through early-reject, rebuttal, notification, camera-ready, and the Seoul symposium, and placing NDSS honestly inside the security big-four retargeting year.ProductivityNo warnings★ 1.4K↓ —
- 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↓ —
- relational-database-mcp-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit[Deprecated] Existing CloudBase MySQL only. Do not recommend MySQL for new relational work — use postgresql-development. Read this when the environment already has a MySQL instance and the task is queryMysqlDatabase, manageMysqlDatabase, queryPermissions, or managePermissions (inspect, write SQL, schema, permissions, destroy). Do not provision MySQL.DataNo warnings★ 1.2K↓ —Also in 5 other repos
- clean-user-facing-textguillaumemeyer/watermarks-removerClean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts, meaning, and the writer's voice. Use when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when a project rule or instruction file explicitly requires this workflow. Don't use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verbatim quotations unchanged.DesignNo warnings★ 26.4K↓ —
- pnas-citationbrycewang-stanford/Awesome-Journal-SkillsUse to convert references to PNAS's numbered citation style — cited in order of appearance, a numbered reference list, full author lists, abbreviated journal titles. Provides formats for article/book/chapter/dataset/preprint and an author-date → PNAS conversion table. Late-stage style pass.MarketingNo warnings★ 1.4K↓ —
- baoyu-danger-x-to-markdownJimLiu/baoyu-skillsConverts X (Twitter) tweets and articles to markdown with YAML front matter. Uses reverse-engineered API requiring user consent. Use when user mentions "X to markdown", "tweet to markdown", "save tweet", or provides x.com/twitter.com URLs for conversion.MarketingNo warnings★ 27.3K↓ —
导出视频
ChatCut-Inc/agent-plugin
NewOtherUpdated 9 hours ago
From the author
按需导出成片、音频或字幕文件。
Install
npx skills add ChatCut-Inc/agent-plugin --skill '导出视频' -a claude-code
Installs to .claude/skills/----/ · 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
Provenance76
Maintenance100
Licence100
Adoption49
Files (1)
- SKILL.md