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.
49,361 skills from 2,397 repositories · updated 8 minutes ago
49,361 skills
- context-statuspedrohcgs/claude-code-my-workflowShow current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.ProductivityNo warnings★ 1.7K↓ —
- aufhebungsvertragKlotzkette/claude-fuer-deutsches-rechtAufhebungsvertrag: Prüft Schriftform, Beendigungsdatum, Abfindung, Freistellung, Urlaub, Zeugnis, Ausgleich, Sperrzeit, Ruhen und faire Verhandlung; erstellt Redline, Risikomatrix und Abschlusscheck.OtherNo warnings★ 1.8K↓ —
- pr-squash-messagescenario-labs/skillsGenerate one short Conventional Commits squash message describing only the net diff between the PR's base and head, set its header as the PR title, validate it with the repository's commitlint and both copy its description to the clipboard and display it, when asked for a squash message. Works in any Scenario repository, whatever its default branch.OtherNo warnings★ 2.8K↓ —
- scenario-reportscenario-labs/skillsUse when a Scenario user wants to report a bug or request a change, on the public tracker at github.com/scenario-labs/skills or by email to [email protected]: turning a failed generation, MCP tool error, or unclear skill into a reproducible report, collecting trace ids with diagnostics_run, stripping keys, signed asset URLs, and personal data, asking before sharing a team or project id, or building a prefilled issue URL. Keywords: file an issue, feature request, feedback.ProductivityNo warnings★ 2.8K↓ —
- scenario-seedancescenario-labs/skillsUse when generating or editing video with Seedance models on Scenario via MCP: text-to-video, image-to-video, first and last frame anchors, reference-to-video from identity, product, or world references, prompt-based editing, extending a clip, audio-conditioned motion or voice, shot sound without music, first-frame versus reference conditioning, or an output blocked by moderation. Keywords: Seedance 2.5 and 2.0, ByteDance, T2V, I2V, V2V, native audio, OutputVideoSensitiveContentDetected.MediaNo warnings★ 2.8K↓ —
- output-waehlenKlotzkette/claude-fuer-deutsches-rechtFür Output wählen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: patentrecherche.OtherNo warnings★ 1.8K↓ —
- kaltstart-triageKlotzkette/claude-fuer-deutsches-rechtFür allgemein: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- agp-9-upgradeandroid/skillsUpgrades, or migrates, an Android project to use Android Gradle Plugin (AGP) version 9. Do not use this skill for migrating Kotlin Multiplatform (KMP) projects.OfficialOtherNo warnings★ 10.4K↓ —
- pr-handle-commentsscenario-labs/skillsHandle review comments received on GitHub for the current branch's PR or a given PR number or URL, by triaging each unresolved thread, fixing what is warranted, pushing, and replying in each thread, when asked to address, fix or answer PR comments. Works in any Scenario repository.EngineeringNo warnings★ 2.8K↓ —
- scenario-grok-imagine-imagescenario-labs/skillsUse when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations. Keywords: Grok Imagine Image 2.0, Image Quality, xAI, Aurora, Grok, txt2img, img2img, typography, 2K.MediaNo warnings★ 2.8K↓ —
- gentle-ai-judgment-dayGentleman-Programming/gentle-shellTrigger: judgment day, judgement day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.EngineeringNo warnings★ 1.7K↓ —
- create-lecturepedrohcgs/claude-code-my-workflowCreate a new Beamer lecture `.tex` from source papers and materials, with notation consistency checks and the project's preamble wired in. Use when user says "create a lecture on X", "new lecture from these papers", "start a deck on topic Y", "scaffold a new Beamer file", "build me a lecture from these PDFs". Scaffolds the full deck — NOT for compiling existing `.tex` (use `/compile-latex`).DocumentsNo warnings★ 1.7K↓ —
- molfeatK-Dense-AI/scientific-agent-skillsFeaturizes small molecules with Molfeat for QSAR/QSPR, chemical similarity, virtual screening, and molecular ML. Covers ECFP/MACCS fingerprints, RDKit descriptors, pharmacophores, pretrained embeddings, configuration persistence, and molecule-to-label alignment.ScienceNo warnings★ 56.2K↓ —Also in 2 other repos
- android-intent-securityandroid/skillsBest practices for Android Intent security. Use this skill when auditing component configurations in AndroidManifest.xml activities, services, receivers) or source code handling incoming Intents (getIntent, getParcelableExtra) to prevent Intent Redirection and unauthorized access.OfficialSecurityNo warnings★ 10.4K↓ —
- credible-claimspedrohcgs/claude-code-my-workflowResearch-brief + claim-record discipline for delegated or AI-assisted research work. Use when starting any substantive research task or long autonomous run (write the brief first), and when reporting results that will support a claim in a paper or decision (produce the claim record). Keeps faster execution from being confused with credible evidence.ScienceNo warnings★ 1.7K↓ —
- networkxK-Dense-AI/scientific-agent-skillsCreates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.ScienceNo warnings★ 56.2K↓ —Also in 1 other repo
- ressort-bmvgKlotzkette/claude-fuer-deutsches-rechtFür Ressort-Heranführung BMVg: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Legistik-Werkstatt. Route: ressort-bmvg.OtherNo warnings★ 1.8K↓ —
- kaltstart-interviewKlotzkette/claude-fuer-deutsches-rechtFür Erstes Einrichtungsgespräch (Kaltstart-Interview): routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.PlanningNo warnings★ 1.8K↓ —
- scaffold-exercisespedrohcgs/claude-code-my-workflowScaffold a graded problem set with sections, problems, worked solutions, and short "why this matters" explainers across analytical, empirical, and coding types. Use when user says "make a problem set on X", "scaffold exercises for this lecture", "create practice problems", "generate homework with a solution key", "build a graded assignment on topic Y". Emits a clean student set plus a separate solution key — NOT for grading submissions or auto-checking student answers.EngineeringNo warnings★ 1.7K↓ —
- ink-custom-brush-builderandroid/skillsCreates custom BrushFamily definitions for an Android app using Jetpack Ink (androidx.ink 1.1.0-alpha03 and higher). Use this skill when configuring custom BrushTip shapes, adding pressure, tilt, speed, or noise sensitivity using BrushBehavior node graphs, creating multi-coat layered brushes, applying tiling or particle stamping textures, configuring SlidingWindowModel input smoothing, or serializing brushes. Delivers complete Kotlin BrushFamily, BrushCoat, BrushTip, BrushPaint, and BrushBehavior implementations. Don't use for View-based (XML) inking, Compose drawing surface setup, or stock brush selection. For Compose drawing surface setup, InProgressStrokes wet and dry rendering, eraser, or persistence, suggest the ink-app-builder skill.OfficialMediaNo warnings★ 10.4K↓ —
- autoskillK-Dense-AI/scientific-agent-skillsAnalyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.ScienceNo warnings★ 56.2K↓ —Also in 1 other repo
- anpassenKlotzkette/claude-fuer-deutsches-rechtFür Praxisprofil anpassen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Gesellschaftsrecht.OtherNo warnings★ 1.8K↓ —
- flowkitK-Dense-AI/scientific-agent-skillsAnalyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.EngineeringNo warnings★ 56.2K↓ —Also in 2 other repos
- pathogen-variant-surveillanceK-Dense-AI/scientific-agent-skillsQueries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment provenance, SARS-CoV-2, influenza/H5N1 clades, RSV, mpox, measles, dengue, or LAPIS queries. Distinguishes sequence prevalence from infection prevalence, clades from genotypes, missing calls from reference matches, and sampling changes from biological growth advantage.ScienceNo warnings★ 56.2K↓ —
architecture-optimization
wondelai/skills
PlanningUpdated 3 days ago
From the author
Guided journey from a working codebase grown slow and tangled to one measurably fast, cleanly bounded, and readable. Orchestrates eight skills phase by phase - working-with-legacy-code, clean-architecture, software-design-philosophy, refactoring-patterns, system-design, ddia-systems, release-it, pragmatic-programmer - every phase carries its method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (PERFORMANCE.md, ARCHITECTURE.md, ARCHITECTURE-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to make an app faster, untangle drifted boundaries, fix slow endpoints and queries, or says 'it works but it is slow and getting worse'. For an untested prototype, improve-code-quality; for an aged codebase you fear to touch, remove-technical-debt; for greenfield structure, design-code-architecture; for marketing-site page speed, improve-website. For one framework in isolation, invoke that skill directly.
Install
npx skills add wondelai/skills --skill architecture-optimization -a claude-code
Installs to .claude/skills/architecture-optimization/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 89
Security100
Provenance81
Maintenance100
Licence100
Adoption54
Files (3)
- SKILL.md
- references/artifact-templates.md
- references/methods.md