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
- 23 007
- dépôts
- 3551
- dernière synchronisation
- 4 nov. 2026
ais-onestructured-logging
Guidance for structured, leveled, per-layer logging; error handling with preserved stack traces; and request/trace ID propagation across controller → service → repository and across calls to this repo's own other apps. Use when adding or reviewing logging in any controller, service, repository, MCP tool handler, or queue consumer; when an error is caught and needs to be logged or rethrown; when wiring a new app's entrypoint (request-ID middleware, error handler); or when a service calls another
- Installations / 1h
- 1
- GitHub Stars
- 461
- Mis à jour
- 22 sept.
mindrallyvite
Expert guidance for Vite development with modern build tooling, HMR, framework integrations, and performance optimization
- Installations / 1h
- 1
- GitHub Stars
- 263
- Mis à jour
- 3 sept.
pproencaios-design
SwiftUI interface implementation patterns aligned with the iOS 26 / Swift 6.2 clinic modular MVVM-C architecture, grounded in Creative Selection and Design Like Apple principles. Use when building new SwiftUI views/screens while respecting Domain/Data boundaries, App-target route-shell navigation, and production-grade accessibility/interaction standards.
- Installations / 1h
- 1
- GitHub Stars
- 211
- Mis à jour
- 15 août
vintasoftwaredjango-celery-expert
Expert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Dja
- Installations / 1h
- 1
- GitHub Stars
- 146
- Mis à jour
- 23 juil.
jackwenerdiscord-cli
Discord CLI with YAML-first structured output for AI agents — fetch chat history, search messages, sync channels, and AI analysis
- Installations / 1h
- 1
- GitHub Stars
- 132
- Mis à jour
- 14 mars
espennilsendocstring-generator
Generate and update language-idiomatic doc comments for TypeScript (TSDoc/JSDoc) and Rust (Rustdoc). Use when asked to "add docs", "document this file", "generate docstrings", "add JSDoc", "add Rustdoc", "write TSDoc", or when working with TypeScript or Rust source files that need documentation comments. Supports file-level and selection-level operations. Deterministic and idempotent — safe to run repeatedly on the same code. Does NOT change behavior, rename symbols, or refactor code.
- Installations / 1h
- 1
- GitHub Stars
- 122
- Mis à jour
- 21 sept.
paulrbergeffect-ts
Use for nontrivial Effect 3 work including services/layers, typed errors, Schema/JSONSchema, Config, runtime/concurrency, @effect/vitest, @effect/ai, @effect/sql, Effect Atom, or @prb/effect-next.
- Installations / 1h
- 1
- GitHub Stars
- 93
- Mis à jour
- 26 sept.
hyperfx-aiblog-generation
Generate one excellent, on-brand blog post per run for any business, built to rank on Google and get cited by AI search (ChatGPT, Claude, Perplexity, AI Overviews). A stateful engine: reads a brand strategy doc, picks a fresh topic (never repeats), researches, writes in the brand's voice, and logs the post back. Use when the user wants to write a blog post, run a daily or recurring blog task, or generate SEO / AEO / blog content. For keyword data and audits, defer to seo-research.
- Installations / 1h
- 1
- GitHub Stars
- 91
- Mis à jour
- 26 sept.
hyperfx-aireddit-ads
Plan and create Reddit Ads campaigns end-to-end via the Hyper MCP — campaign, ad group, ad build order with subreddit / interest / geo targeting, promoted posts, custom and saved audiences, Reddit pixel conversion tracking, and reporting, with micro-currency budgets. Use when the user wants to launch Reddit ads, promote a Reddit post, target subreddits, set up a Reddit pixel, or pull Reddit ad reports. Also triggers on reddit campaign, reddit ppc, or reddit ads manager.
- Installations / 1h
- 1
- GitHub Stars
- 91
- Mis à jour
- 26 sept.
asmartbearasb-carol-define
Facilitates the final step of a proven ideal-customer (ICP) method: synthesizing the working files — strengths and weaknesses, honed keystones, deal-breakers, and inciting events — into CAROL.md, the crisp definition of the ideal customer. The definition leads the file, behavioral and attitudinal, never demographic unless genuinely determinative; every marker must clear the bar that Marketing can target it, Sales can qualify against it, and Product can build features to thrill it. Brief referenc
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-carol-inciting-events
Facilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windo
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-carol-keystones
Facilitates the third step of a proven ideal-customer (ICP) method: refining classified strengths into keystones — the specific characteristics, behaviors, or circumstances that make a customer NEED an extreme version of a strength, badly enough to drive the purchase alone. Takes a strengths chart (S1, S2, … — file or pasted), walks the strengths one at a time asking who requires an extreme version of each, gates every candidate on naming a real market segment that typifies it (no segment = tabl
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-interview-hypotheses
Facilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypotheses
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-interview-questions
Facilitates the third step of a proven customer-interview method: translating hypotheses into open-ended, unbiased interview questions — each a miniature experiment designed to test one hypothesis without leading the witness. Two modes: given a single hypothesis, it grills the question into shape and outputs the final question in chat; given a HYPOTHESES.md file, it iterates the whole list, grouping related hypotheses, and maintains a QUESTIONS.md file (numbered Q1, Q2, … mapped to H-numbers) as
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-needs-stack
Builds a customer Needs Stack — the ladder in which every need is a means to the end one level up (buy infrastructure → set up a WordPress site → have a personal website → get a book deal). Anchors the level the user's product satisfies, phrased as the customer's own goal in the customer's own words, then walks downward (the steps the product makes obsolete) and upward (what the customer really wants), crystallizing every level — specific wording, a true means-to-an-end link, named real-world oc
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-raise-prices
Helps a founder build the case for raising prices and the moves that justify it; it drives toward a higher price and does not debate whether to raise. Three gated phases: (1) collect the reality (what you charge, what you promise, who buys) and diagnose which market the price has selected (the $1/$10/$100/$1,000-per-month ladder), the profit stakes (a 10% rise can be ~100% more profit), and whether the low price is strategy or fear, landing on a rough higher target; (2) brainstorm, judgment off,
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
asmartbearasb-rude-qa
Interrogates a user's decision, plan, pitch, positioning, target market, pricing, or still-forming idea with sharp, unsparing questions — extended when useful to hostile or even unfair framings — until the plan sharpens into defensible decisions, or the user concludes it isn't a good idea after all. Acts as the constructive devil's advocate that the user cannot be for themselves. Load when the user wants to stress-test, attack, pressure-test, find holes in, or play devil's advocate against somet
- Installations / 1h
- 1
- GitHub Stars
- 46
- Mis à jour
- 29 août
heyman333editorial-designer
Create distinctive, production-grade frontend interfaces with high editorial design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
- Installations / 1h
- 1
- GitHub Stars
- 36
- Mis à jour
- 15 janv.
charlie947inbox-executive-assistant
Turns a chaotic inbox into a prioritised brief with reply drafts ready for the user to send, and surfaces the day's meetings. Claude should use this skill whenever the user asks to triage their inbox, "what needs a reply", "sort my email", "catch me up on my inbox", "clear my inbox", "draft my replies", "what's on my calendar / what meetings do I have", or wants an executive assistant over Gmail or Microsoft 365 and Google Calendar. Read-and-draft only. The user always sends.
- Installations / 1h
- 1
- GitHub Stars
- 27
- Mis à jour
- 29 août
genmedia-labsflux-kontext
Edit images with Flux 1 Kontext Pro (Black Forest Labs' precise local image-edit model) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux Kontext's strengths (single-reference precise local edits, strong prompt control, consistent high-fidelity outputs), the schema (single image + prompt), and when to route to Nano Banana Edit / GPT Image 2 edit / Flux 2 Klein instead. Calls runcomfy r
- Installations / 1h
- 1
- GitHub Stars
- 23
- Mis à jour
- 7 sept.
genmedia-labsrelight
Relight a still image — change the lighting setup, color temperature, direction, or mood — on RunComfy via the runcomfy CLI. Routes to Qwen Edit 2509's dedicated relight LoRA endpoint for purpose-built relighting, with fallback to identity-preserving edit endpoints (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when prose lighting language is enough. Use for product relighting (studio softbox → window light), portrait mood shift (overcast → golden hour), or color-grade change. Triggers
- Installations / 1h
- 1
- GitHub Stars
- 23
- Mis à jour
- 7 sept.
full-stack-skillsddd-architecture-clean
Comprehensive guidance for Clean Architecture (整洁架构) — Robert C. Martin's Clean Architecture with Enterprise Business Rules, Use Cases, Interface Adapters, and Frameworks layers. Covers core entities, use case interactors, dependency rules, and full implementation steps with Java/Spring Boot examples. Use when user asks about Clean Architecture, 整洁架构, Robert Martin, Uncle Bob, use case driven architecture, or needs to implement DDD with clean architecture.
- Installations / 1h
- 1
- GitHub Stars
- 10
- Mis à jour
- 23 sept.
raphaelbarbosaqwertymaestro-e2e
E2E UI testing with Maestro for iOS, Android, Flutter, React Native, and Web
- Installations / 1h
- 1
- GitHub Stars
- 8
- Mis à jour
- 5 févr.
full-stack-skillseasyexcel-fill
基于 Alibaba EasyExcel（com.alibaba:easyexcel:4.0.3）的 Excel 模板填充技能。覆盖简单对象填充、列表填充（{.}+forceNewRow）、横向多列组合填充（FillWrapper+WriteDirectionEnum.HORIZONTAL）、复杂填充（含合计行/统计行/先 fill 后 write）、Spring Boot 集成、模板设计规范、转义字符、03版/07版差异、性能优化（分次 fill、文件缓存）。当用户需要把 Java 对象或 Map 数据按预制 .xlsx 模板（变量语法 {var}、{.}、{prefix.}）填充生成报表（工资条/合同/对账单/发票/财务报表/统计表/汇总表）时使用此技能，不适用于不基于模板的"程序生成 Excel"场景（改用 easyexcel-write）。
- Installations / 1h
- 1
- GitHub Stars
- 5
- Mis à jour
- 19 sept.