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.
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- Skills
- 22 280
- dépôts
- 3411
- dernière synchronisation
- 26 oct. 2026
microsoftwinui-dev-workflow
Create, build, run, and fix build errors in WinUI 3 apps (C or C++) with WinApp CLI 0.7+: winapp new, winapp run, Native AOT, crash diagnosis. Use for a new WinUI app or a WinUI project that fails to build or crashes. Not for WPF, WinForms, or Electron apps that only reference the Windows App SDK.
- installations
- 1
- GitHub Stars
- 1,3 k
- Mis à jour
- 20 oct.
microsoftwinui-packaging
MSIX packaging, signing, and Microsoft Store publishing for WinUI 3 apps with WinApp CLI 0.7+: project packaging, Native AOT, certificates, self-contained deployment, CI/CD. Use when releasing or publishing a WinUI app. Not for WPF, WinForms, or Electron apps that only reference the Windows App SDK.
- installations
- 1
- GitHub Stars
- 1,3 k
- Mis à jour
- 20 oct.
microsoftwinui-ui-testing
Write and run automated UI tests for Windows desktop apps (WinUI 3, WPF, WinForms, Win32) with the winapp ui harness: one batch script, assertions, input, file pickers, dialogs, screenshots, locally or in Windows Sandbox. Use when asked for UI tests or to verify a feature end to end.
- installations
- 1
- GitHub Stars
- 1,3 k
- Mis à jour
- 20 oct.
alchaincyfdarwin-skill
Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (structure + effectiveness + meta-skill blacklists), runs hill-climbing with git version control, spawns independent judge agents for blind evaluation, validates improvements through test prompts with auto-break on diminis
- installations
- 1
- GitHub Stars
- 6,5 k
- Mis à jour
- 18 sept.
epoko77-aihumanize-redo
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 runid에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".
- installations
- 1
- GitHub Stars
- 6,1 k
- Mis à jour
- 12 oct.
epoko77-aihumanize-scan
한글 글에 AI 티가 얼마나 있는지 재고, 실제로 고치면 어떻게 되는지 표본으로 보여주는 정찰 스킬. 실측 판별력 상위 6개만 본다. 워크스페이스·진단·게이트·서브에이전트 없이 이 대화 안에서 끝낸다(파일 0개, 서브에이전트 0회). 손볼 게 많다고 나오면 전수 윤문은 humanize-korean(=/humanize)으로 넘긴다. 트리거 — "이 글 AI 같아?", "AI 티 있나 봐줘", "스캔해줘", "윤문 돌릴 값어치 있나", "AI 티 점수", "quick humanize", "/humanize-scan".
- installations
- 1
- GitHub Stars
- 6,1 k
- Mis à jour
- 12 oct.
superdesigndevugc-talking-head-video
Turn a locked character image (from portrait-clone) into a UGC-style 9:16 talking-head video: pick a voice-reference clip, size the script to the duration, write the Seedance 2.5 prompt, generate through treg (reAPI or PiAPI), then burn a static emoji header and phrase captions with code. Use after portrait-clone when the user wants the character to speak a script on camera.
- installations
- 1
- GitHub Stars
- 5,9 k
- Mis à jour
- 20 oct.
ar9avimpl-validator
Independently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues. Use for second-opinion validation of an implementation or generated output.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avllm-wiki
Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avobsidian-layout-adjustment
Adjust the user's Obsidian visual layout with CSS snippets. Use for restyling tabs, sidebars, note surfaces, properties, backlinks, graph or file-explorer UI, or diagnosing CSS changes that did not take effect.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avsession-brain
Build or refresh a browser-viewable topic graph over Claude session history using local clustering. Use for mapping or clustering sessions, recent or stale topic analysis, or rebuilding/showing the session graph. Unlike wiki-history-ingest, it indexes raw sessions and never writes to the vault.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avsession-search
Search the session-brain graph for a past agent session by topic and load the winning transcript into the current conversation. Use for finding which session handled X, when Y was last worked on, or whether this was done before. Read-only; requires a session-brain graph.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avwiki-context-pack
Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
ar9avwiki-query
Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups. Supports named-vault routing such as wiki-query @work; not for ingesting new sources.
- installations
- 1
- GitHub Stars
- 3,6 k
- Mis à jour
- 18 oct.
callstackreact-native-testing
Write tests using React Native Testing Library (RNTL) v13 and v14 (@testing-library/react-native). Use when writing, reviewing, or fixing React Native component tests. Covers: render, screen, queries (getBy/getAllBy/queryBy/findBy), Jest matchers, userEvent, fireEvent, waitFor, and async patterns. Supports v13 (React 18, sync render) and v14 (React 19+, async render). Triggers on: test files for React Native components, RNTL imports, mentions of "testing library", "write tests", "component tests
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 20 oct.
himself65earnings-preview
Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season previe
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 19 oct.
himself65estimate-analysis
Analyze sell-side analyst estimates and how they are changing, using Yahoo Finance data (yfinance): EPS and revenue consensus by period, estimate ranges and dispersion, revision trends over 7/30/60/90 days and up/down revision breadth, growth estimates vs industry, sector, and the S&P 500, and historical estimate accuracy. Use this skill when the user wants more than a single estimate lookup: estimate revisions or momentum, EPS trend, consensus changes, forward or next-quarter and annual estimat
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 19 oct.
himself65etf-premium
Calculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jum
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 19 oct.
himself65sepa-strategy
Analyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries, market environment, and risk-based position sizing. Use this skill whenever the user mentions SEPA, Minervini, superperformance, the trend template, VCP (volatility contraction pattern), Stage 2, pivot or breakout entries, moving-average stacking (price above the 50/150/200-day MAs), breakout volume,
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 19 oct.
himself65stock-liquidity
Analyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about liquidity or trading costs — how easily a position can be entered or exited, what a large order would do to the price, spread or execution-cost estimates, order book depth, volume pattern
- installations
- 1
- GitHub Stars
- 3,4 k
- Mis à jour
- 19 oct.
tradermontyscenario-analyzer
Skill that analyzes 18-month scenarios from a news headline. Runs the primary analysis with the scenario-analyst agent and obtains a second opinion with the strategy-reviewer agent. Generates a comprehensive English report covering 1st/2nd/3rd-order impacts, recommended stocks, and a critical review. Example: /scenario-analyzer "Fed raises rates by 50bp" Triggers: news analysis, scenario analysis, 18-month outlook, medium-to-long-term investment strategy
- installations
- 1
- GitHub Stars
- 3,1 k
- Mis à jour
- 20 oct.
tradermontystanley-druckenmiller-investment
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener) into a unified conviction score (0-100), pattern classification, and allocation recommendation. Use when user asks about overall market conviction, portfolio positioning, asset allocation, strategy synthesis, or Druckenmiller-style analysis. Triggers on queries like "What is my conviction level?", "How
- installations
- 1
- GitHub Stars
- 3,1 k
- Mis à jour
- 20 oct.
tradermontytrade-hypothesis-ideator
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
- installations
- 1
- GitHub Stars
- 3,1 k
- Mis à jour
- 20 oct.
tradermontyus-market-bubble-detector
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
- installations
- 1
- GitHub Stars
- 3,1 k
- Mis à jour
- 20 oct.