AGENT SKILLS · ÉQUIPEMENT DE MISSION
Des Agent Skills utiles classés selon leur usage réel
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 23 248
- dépôts
- 3589
- dernière synchronisation
- 4 nov. 2026
alleneubankpython-best-practices
Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).
- Installations / 1h
- 1
- GitHub Stars
- 52
- Mis à jour
- 24 juin
jpcaparasadhd-friendly
Give ADHD-friendly, action-first help.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasadversarial-test-sweep
Run a bounded adversarial sweep of an existing test suite. Use to harden a suite or subsystem against malformed inputs, boundaries, invalid state, races, dependency/resource failures, weak or redundant tests, flakes, and missing durable regressions. Skip ordinary test additions, load, chaos, and penetration testing.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasclient-report-from-commits
Turn git commits and diffs since an exact date into a copy-pastable, non-technical client report grouped by feature. Use for client updates, weekly progress, stakeholder recaps, or high-level git-history summaries. Do NOT use when the date is ambiguous.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasdevils-advocate
Debates when explicitly invoked.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasmaintainable-tests
Guide maintainable tests as behavior documentation with isolated side effects, compatibility coverage, and reliable assertions. Use for tests, fixtures, mocks, regressions, reviews, and testability changes. Skip disposable work.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasmockable-code
Guide mockable, test-double-friendly code. Use for code or tests involving dependencies, I/O, time, randomness, configuration, or external services. Skip non-code writing and disposable prototypes.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasoneshot-prompt-generator
Turn supplied websites, apps, images, media, documents, code, or mixed references into a self-contained replication prompt for a fresh session. Default to a website/web app unless another target is named. Skip implementation, rendering, and summaries.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasoneshot-websites
Run ambitious one-shot websites, web apps, games, simulations, clones, motion pieces, or benchmarks through fresh isolated subagents. Use for one-shot web artifacts, catalogue ideas, or parallel model/harness variants.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasreading-notes
Turn supplied resources into practical reading notes: topics, interesting ideas, research leads, open questions, and homework todos. Use for articles, PDFs, docs, webpages, videos, transcripts, slides, meetings, books, RFCs, or talks. Do NOT use for code review or exhaustive transcripts.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasrepo-intent-documenter
Create evidence-backed repository intent docs for AI coding agents, including certainty levels, evidence anchors, open questions, and review workflow. Trigger on document repo intent, REPOINTENT.md, or what this repo is for. Do NOT use for ordinary README polishing.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasripgrep
Prefer ripgrep (rg) for text search, recursive codebase search, filename discovery with rg --files, and machine-readable search output. Trigger on search, grep, ripgrep, rg, find files, or look for pattern. Do NOT use for full-file reads or JSON queries better handled by jq.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparassecure-ai-agent-coding
Build, review, or harden AI agents, LLM apps, RAG, tool-calling, coding agents, and agentic workflows with secure-by-default controls. Trigger on prompt injection, tool permissions, approvals, AI data handling, RAG poisoning, observability, or safety CI. Do NOT use for non-AI appsec.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasskill-creator-advanced
Create, harden, and curate production-grade installable skills and skill libraries. Use for API/CLI/reference skills, invocation design, progressive disclosure, evals, placement, promotion, renames, deprecation, or catalog/router consistency. Skip trivial one-file utilities.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasstrong-types
Passive skill enforcing strong typing when writing or reviewing PHP, TypeScript, Python, C, Kotlin, Go, Rust, or other typed code. Bans any/mixed, untyped signatures, blind ??/|| fallback chains; prefers DTOs, enums, generics, strict flags. Do NOT force typing onto untyped languages.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
jpcaparasto-diagram
Turn a convoluted engineering, scientific, or general process into one clear Mermaid diagram and export matching Markdown and PNG files. Trigger on /to-diagram, process diagram, workflow visualization, concept map, or explain this flow visually. Do not use for data charts, image-only infographics, or simple diagram syntax questions.
- Installations / 1h
- 1
- GitHub Stars
- 47
- Mis à jour
- 12 sept.
metabaseai-governance-checklist
A Metabase AI-governance coach, covering the controls and rollout side of AI: who may use Metabot, what it can see, what it costs, where the model runs, and the audit trail. Use this skill whenever the user wants to roll out AI analytics safely, control who can use Metabot or what it can see, set spend or token limits on AI, restrict Metabot's system prompt, audit AI usage, evaluate bring-your-own model or self-hosting options for AI, or prep for a security review of AI features. Trigger it even
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabaseai-readiness-checklist
A Metabase AI-readiness coach, covering the data groundwork that makes AI answers trustworthy: modeling with Transforms, table and field metadata, the Glossary, saved Metrics, and marking canonical content. Use this skill whenever the user wants to check if their data is ready for AI, prep the underlying data for Metabot or the Metabase MCP server, work through an AI readiness checklist, or audit their data modeling/metadata/metrics before turning on AI features. Trigger it even if the user just
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-cli
Drive a Metabase instance from the terminal via the mb CLI. Authenticate with named profiles; inspect databases (list, get, full metadata rollup, schemas, tables in a schema) and trigger manual schema sync / field-values rescan; inspect tables, fields; list/get/create/update/archive cards (questions, models, metrics) and run them as JSON/CSV/XLSX; list/get/create/update dashboards and patch dashcards; list/get/create collections and traverse the hierarchy by id, entityid, or "root"/"trash" (with
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-database-metadata
Understands the Metabase Database Metadata Format — a YAML-based on-disk representation of databases, tables, and fields synced from a Metabase instance. Use when the user needs to read, edit, or understand metadata files produced by @metabase/database-metadata, or when reasoning about a project's schema (columns, types, FK relationships) through the .metadata/databases folder.
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-embedding-sso-implementation
Implements JWT SSO authentication for Metabase embedding in a project. Supports all embedding types that use SSO — Modular embedding (embed.js web components), Modular embedding SDK (@metabase/embedding-sdk-react), and Full app embedding (iframe-based). Creates the JWT signing endpoint, configures the frontend auth layer, and sets up group mappings. Use when the user wants to add SSO/JWT auth to their Metabase embedding, implement user identity for embedded analytics, set up JWT authentication f
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-full-app-to-modular-embedding-upgrade
Migrates a project from Metabase Full App / Interactive (iframe-based) embedding to Modular (web-component-based) embedding. Use when the user wants to replace Metabase iframes with Modular embedding web components.
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-learning
A spaced repetition learning coach for Metabase. Use this skill whenever the user wants to: learn Metabase, start a Metabase training session, do a Metabase review, practice Metabase concepts, check what they should study today, get quizzed on Metabase, run through active recall on BI tools, or follow a structured learning program for data analytics software. Trigger this skill even if the user just says "let's do my Metabase session", "quiz me on Metabase", or "what should I study today?" in a
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août
metabasemetabase-modular-embedding-to-modular-embedding-sdk-upgrade
Migrates a React project from Metabase Modular embedding (embed.js web components) to the Modular embedding SDK (@metabase/embedding-sdk-react). Use when the user wants to switch from embed.js web components to React SDK components (MetabaseProvider). This is not a version upgrade — it changes the embedding technology.
- Installations / 1h
- 1
- GitHub Stars
- 42
- Mis à jour
- 26 août