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.
29,031 skills from 1,182 repositories · updated 5 minutes ago
29,029 skills
- lemmalysickn33/agentic-awesome-skillsAlgorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.WritingNo warnings★ 48.4K↓ —Also in 1 other repo
- inngestsickn33/agentic-awesome-skillsInngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.OtherNo warnings★ 48.4K↓ —Also in 1 other repo
- lognormsickn33/agentic-awesome-skillsWork a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.MarketingNo warnings★ 48.4K↓ —
- jev-usesickn33/agentic-awesome-skillsRoute enumerable judgment steps - did it work, which option, how risky, is this safe to run - to the Jev judgment model through the jev_judge and jev_gate MCP tools, batched into one call per state.OtherNo warnings★ 48.4K↓ —
- nature-writingYuan1z0825/nature-skillsDraft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.WritingNo warnings★ 50.4K↓ —
- datadogsickn33/agentic-awesome-skillsImplement Datadog monitoring and APM for infrastructure and applications.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- unshipsickn33/agentic-awesome-skillsCompare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.DesignNo warnings★ 48.4K↓ —Also in 1 other repo
- nature-paper-xrayYuan1z0825/nature-skillsRead one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grounds each key formula in a worked micro-example with concrete numbers, and checks how far the evidence actually reaches, including where the authors are confident and where the paper does not report something. Delivers a structured Markdown long-read by default. Not a summary, not a translation, not a peer review.ScienceNo warnings★ 50.4K↓ —
- to-prdsickn33/agentic-awesome-skillsTurn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.PlanningNo warnings★ 48.4K↓ —Also in 1 other repo
- ai-loopsickn33/agentic-awesome-skillsRuns a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.PlanningNo warnings★ 48.4K↓ —
- taaskysickn33/agentic-awesome-skillsNegotiate terms with another person or their agent through the hosted Taasky MCP server: meeting times, prices, dates. The human confirms every accept, reject or withdraw.OtherNo warnings★ 48.4K↓ —
- vaexK-Dense-AI/scientific-agent-skillsProcesses large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.DataNo warnings★ 54.4K↓ —Also in 1 other repo
- assaysickn33/agentic-awesome-skillsRun assay on a web page you just wrote or changed. It opens the page in a real browser, drives every control, and reports where the page contradicts itself. Deterministic, no API key, no network.BrowserNo warnings★ 48.4K↓ —
- google-cloud-recipe-authgoogle/skillsProvides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.OfficialOtherNo warnings★ 21.5K↓ —Also in 1 other repo
- understand-chatEgonex-AI/Understand-AnythingUse when you need to ask questions about a codebase or understand code using a knowledge graphEngineeringNo warnings★ 88K↓ —
- axonxsickn33/agentic-awesome-skillsDevelop AxonX research plugins and operate quantitative research tasks through CLI or MCP, inspecting execution status, logs, artifacts, and lineage.ScienceNo warnings★ 48.4K↓ —
- wgmsickn33/agentic-awesome-skillsTurns a rough request into working software via a governed build loop: align first, plan, then iterate one task at a time with deterministic backpressure and holdout-scenario judging.PlanningNo warnings★ 48.4K↓ —Also in 1 other repo
- nature-statisticsYuan1z0825/nature-skillsAudit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.TestingNo warnings★ 50.4K↓ —
- crewaisickn33/agentic-awesome-skillsExpert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.OtherNo warnings★ 48.4K↓ —Also in 1 other repo
- adhxsickn33/agentic-awesome-skillsFetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.BrowserNo warnings★ 48.4K↓ —
- adaptyvK-Dense-AI/scientific-agent-skillsUses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results. Applies to Adaptyv Foundry, its target catalog, binding screening and affinity assays, thermostability, expression, fluorescence, epitope binning, and enzyme activity workflows, including code using adaptyv or FoundryClient.DesignNo warnings★ 54.4K↓ —Also in 1 other repo
- google-cloud-solution-agentic-ai-bidirectional-streaminggoogle/skillsGuides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.OfficialDesignNo warnings★ 21.5K↓ —
- crosickn33/agentic-awesome-skillsWhen the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms.MarketingNo warnings★ 48.4K↓ —Also in 1 other repo
- google-cloud-solution-agentic-ai-borderless-data-lakehousegoogle/skillsDiscovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).OfficialDevOpsNo warnings★ 21.5K↓ —
trace-to-training-data
wshobson/agents
OtherUpdated 16 hours ago
From the author
Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.
Install
npx skills add wshobson/agents --skill trace-to-training-data -a claude-code
Installs to .claude/skills/trace-to-training-data/ · 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 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (2)
- SKILL.md
- references/conversion-recipes.md