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.
49,399 skills from 2,375 repositories · updated 5 minutes ago
49,399 skills
- jobs-to-be-donewondelai/skillsDiscover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also trigger when investigating why users choose competitors, designing features around real customer needs, or reframing a value proposition. Covers JTBD interviews, competition analysis, and jobs-oriented roadmaps. For product positioning, see obviously-awesome. For rapid validation, see design-sprint. For non-leading interview technique, see mom-test.TestingNo warnings★ 2.6K↓ —Also in 2 other repos
- deep-researchfeiskyer/claude-code-settingsMulti-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".ScienceNo warnings★ 1.7K↓ —
- create-businesswondelai/skillsGuided journey from raw idea to a validated, positioned, priced business with a chosen beachhead. Orchestrates ten skills phase by phase - jobs-to-be-done, mom-test, design-sprint, lean-startup, good-strategy-bad-strategy, blue-ocean-strategy, obviously-awesome, hundred-million-offers, monetizing-innovation, crossing-the-chasm - asking the user questions at every decision point and recording results in the project docs/ folder (CUSTOMER.md, POSITIONING.md, OFFER.md, CREATE-BUSINESS-PLAN.md) so the journey resumes across sessions. Use when the user wants to start a new business, validate a startup idea, find product-market fit before building, or says 'I have an idea for a company'. Do not use once the business has paying customers: use grow-business to add revenue and customers, or improve-business to fix strategy and operations. For building the product itself use create-app or create-website. For one framework in isolation, invoke that skill directly.TestingNo warnings★ 2.6K↓ —Also in 2 other repos
- diarysickn33/agentic-awesome-skillsUnified Diary System: A context-preserving automated logger for multi-project development.ProductivityNo warnings★ 49.1K↓ —
- scenario-runwayscenario-labs/skillsUse when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved). Keywords: Runway ML, Gen4.5, Gen-4.5, Aleph, T2V, I2V, V2V, first frame.MediaNo warnings★ 1.9K↓ —
- top-designwondelai/skillsCreate award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "Awwwards quality", "make my site stunning", "scroll animations", "parallax storytelling", "cinematic web design", "portfolio site", or "brand experience". Also trigger when elevating a standard landing page into a memorable digital experience. Covers dramatic typography, purposeful motion, scroll-based composition, and performance-optimized animation. For foundational UI, see refactoring-ui. For type selection, see web-typography.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- add-new-opc-skillReScienceLab/opc-skillsChecklist and automation guide for adding a new skill to the OPC Skills project. Ensures all required files, metadata, logos, and listings are created before release. Use when adding a new skill, publishing a skill, or preparing a skill for release.OtherNo warnings★ 1.9K↓ —
- richtlinien-entwurfKlotzkette/claude-fuer-deutsches-rechtFür Richtlinien Entwurf: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- scientific-schematicsK-Dense-AI/scientific-agent-skillsGenerates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.7 Flash for quality review. Refines when the review requests improvement, with at most two generations. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.ScienceNo warnings★ 56K↓ —
- auslandszeiten-euKlotzkette/claude-fuer-deutsches-rechtFür auslandszeiten-eu-ewr-schweiz: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.OtherNo warnings★ 1.8K↓ —
- redteam-qualitygateKlotzkette/claude-fuer-deutsches-rechtFür Red-Team Qualitygate: prüft Ergebnis, Beweislast und Gegenposition; Ergebnis: Gegenprüfung mit Beweis- und Fristencheck. Fachgebiet: NDA-Abgleich. Route: redteam-qualitygate.LegalNo warnings★ 1.8K↓ —
- hivemind-goalsactiveloopai/hivemindCreate, track and update team goals in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.EngineeringNo warnings★ 1.6K↓ —
- nature-paper-cardYuan1z0825/nature-skillsBuild a structured deep-reading Paper Card for one scientific paper, analysing methods, experiment-to-claim evidence, limitations, and research ideas. Use for 论文精读卡、方法拆解、证据链分析; not full-paper bilingual translation or formal peer review.ScienceNo warnings★ 52K↓ —
- lean-uxwondelai/skillsApply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "outcome over output", "design studio method", "assumption mapping", "lightweight research", "too much design documentation", or "get the team designing together". Also trigger when reducing design-documentation overhead, getting cross-functional teams to co-design, or running fast usability experiments. Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- attacker-forwardingcisco-ai-defense/skill-scannerForward collected data to an explicitly attacker-controlled destinationOtherNo warnings★ 2.7K↓ —
- scenario-videoscenario-labs/skillsUse when generating or editing video on Scenario via MCP: text-to-video, a music video from a song, image-to-video (still animation, frame anchors), motion prompting, lipsync and talking avatars, dubbing a clip, video upscale to 4K, prompt-based editing, trim, split, concat, extend, reframe, resize, background removal, frame or audio extraction, long video jobs, or a clip over a duration limit. Keywords: txt2video, img2video, video2video, audio2video, I2V, T2V, V2V, localization.MediaNo warnings★ 1.9K↓ —
- wi-insuranceKlotzkette/claude-fuer-deutsches-rechtFür W&I-Versicherung (Warranty & Indemnity Insurance): ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- bea-journalKlotzkette/claude-fuer-deutsches-rechtFür beA-Nachrichtenjournal und EB-Workflow: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.ProductivityNo warnings★ 1.8K↓ —
- seabornsickn33/agentic-awesome-skillsSeaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.EngineeringNo warnings★ 49.1K↓ —
- wordKlotzkette/claude-fuer-deutsches-rechtFür Word/PDF-Umwandlung für Gericht und Behörden: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.DocumentsNo warnings★ 1.8K↓ —
- dsh-error-handlingNewqufei1993/skills-hub实现或审查错误传播、部分成功、结果未知、恢复、重试、取消或失败反馈时使用,明确状态保证和错误处理责任。OtherNo warnings★ 1.9K↓ —
- zeuge-vorbereitungKlotzkette/claude-fuer-deutsches-rechtFür Zeugenvernehmung-Vorbereitung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.OtherNo warnings★ 1.8K↓ —
- deepspot-mK-Dense-AI/scientific-agent-skillsGenerates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.DocumentsNo warnings★ 56K↓ —
- huashu-image-uploadalchaincyf/huashu-skills文章配图一键生成并上传图床,自动插入Markdown链接。当用户提到"配图"、"插图"、"上传图片"、"文章配图"时使用。MediaNo warnings★ 2.2K↓ —
liteparse
K-Dense-AI/scientific-agent-skills
From the author
Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are spatial text boxes, Markdown, page raster output, and local parsing with optional custom HTTP OCR.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill liteparse -a claude-code
Installs to .claude/skills/liteparse/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
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Files (7)
- SKILL.md
- references/api_reference.md
- references/choosing_a_parser.md
- references/cli_reference.md
- references/ocr_and_formats.md
- references/output_formats.md
- scripts/batch_parse_dir.py