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Skills that do not fit the categories above (13.7K skills)

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Run a strict multi-iteration Reflex Loop with phases (PLAN, PRODUCE||PREPARE, EVALUATE, CRITIQUE, REFINE) to improve an artifact until quality gates pass or iteration limits are reached. Use when user asks for iterative refinement, quality-gated generation, or "generate -> critique -> refine" loops.

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Fix a bug or problem. Supports fix-now or plan-first; no args executes FIX_PLAN.md. When a regression check is needed, reproduce first, then implement and rerun it. Adds logging and suggests extra coverage.

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Distill books, documents, folders, or URLs into compact, practical Agent Skills. Use when source material should become either one reusable skill package or a split set of focused skills, each with a concise SKILL.md plus detailed references and examples.

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Create conventional commit messages by analyzing staged changes. Generates semantic commit messages following the Conventional Commits specification. Use when user says "commit", "save changes", or "create commit".

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Add project-specific rules and conventions to the configured RULES.md artifact. Each invocation appends new rules. These rules are automatically loaded by $aif-implement before execution. Use when user says "add rule", "remember this", "convention", or "always do X".

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Create knowledge references from URLs, documents, or files for use by AI agents. Fetch, process, and store structured references in the configured references directory (default: .ai-factory/references/).

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Reliability gate for answers. Forces evidence-based reasoning, explicit uncertainty, and “insufficient information” instead of guesses. Use when user says “be 100% sure”, “no hallucinations”, “only if verified”, “grounded answer”, or when stakes are high.

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Archive completed plans and roadmap milestones. Moves finished plans to the archive directory and optionally trims closed milestones from ROADMAP.md. Use when user says "archive plans", "clean up plans", "archive completed", or "trim roadmap".

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Generate architecture guidelines for the project. Analyzes tech stack from DESCRIPTION.md, recommends an architecture pattern, and creates .ai-factory/ARCHITECTURE.md. Use when setting up project architecture, asking "which architecture", or after $aif setup.

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TheDragonCode/laravel-feeds36Updated Oct 27, 2026

Analyze a job posting and map its requirements to the master resume as strong matches, partial matches, or honest gaps. Use when the user provides a job description or URL and wants a fit analysis before tailoring.

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yapsancode/job-kit36Updated Oct 9, 2026

prep

Free

Create interview preparation from a job analysis, tailored resume, and master resume. Use when the user wants likely questions, truthful STAR answers, and ways to discuss gaps.

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yapsancode/job-kit36Updated Oct 9, 2026

log

Free

Add a real achievement, measurement, skill, or project update to the master resume. Use when the user wants to record new factual experience.

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yapsancode/job-kit36Updated Oct 9, 2026

tailor

Free

Create an ATS-safe tailored resume and cover letter from an existing job analysis and the master resume. Use when the user asks to tailor an application for a company.

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yapsancode/job-kit36Updated Oct 9, 2026

当用户要把教材/考纲/讲义/某领域知识加工成 AI 苏格拉底老师能拿去上课的教学蓝本(pure-blueprint)或一本给人读的流畅教材(human-readable,AI 也能直接教)时使用。适用任何学科,有教师用书可针对应试。触发词:"造一本教学蓝本/做一本 XX 教材/按这套方法写一本书/复刻这个 skill 的写法"。

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xx-hub/craft-your-textbook36Updated Aug 17, 2026

将群聊记录转化为规避微信折叠、无列表符号、Emoji 标题的精简中文总结。当用户已导出群聊记录(见 wechat skill)并想生成可直接发回微信群的摘要时使用。

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chengmarc/wechat-to-ai36Updated Oct 7, 2026

wechat

Free

在本地查询、导出微信 4.1+ 聊天记录为 AI 可读文本 —— 支持双人会话、群聊、以及按消息量排名的重要联系人排名。当用户想导出、搜索或分析自己的微信聊天记录,或为其他 skill(前任.skill / 同事.skill 等)准备聊天记录原材料时使用。

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chengmarc/wechat-to-ai36Updated Oct 7, 2026

Technical Analysis skill — price action, indicators (RSI/MACD/Stochastic), chart patterns, support/resistance, volume, Bollinger Bands, and relative strength vs SPY. Returns Technical Score (0-100). Triggered by "trade technical <TICKER>".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Sector Rotation & Analysis — analyzes sector momentum rankings across all 11 GICS sectors, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals. Triggered by "trade sector <sector>" or "trade sector rotation".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

60-Second Stock Snapshot — fast assessment with signal (BUY/HOLD/SELL/AVOID), key bullish/bearish factors, and key levels. No subagents. Terminal output only. Triggered by "trade quick <TICKER>" or "quick look at <TICKER>".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Risk Assessment & Position Sizing — volatility profile (beta/ATR/HV), historical drawdowns, correlation analysis, liquidity risk, position sizing tables (fixed %, volatility-adjusted, Kelly Criterion), and VaR estimates. Returns Risk Score (0-100, higher = safer). Triggered by "trade risk <TICKER>".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Watchlist Manager — build, maintain, and score a dynamic watchlist with Quick Scores (0-100), alert system (breakouts, breakdowns, earnings approaching, volume spikes), and ranked display. Triggered by "trade watchlist", "trade watchlist add/remove/rescore/alerts/top".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Portfolio Analyzer — sector allocation analysis vs SPY benchmark, geographic exposure, correlation matrix, concentration risk (HHI), beta-weighted portfolio delta, dividend/income analysis, and prioritized rebalancing recommendations. Triggered by "trade portfolio" or "analyze my portfolio".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Stock Screener — pre-built screens (growth, value, momentum, dividend, earnings beats) plus custom natural language criteria. Returns top 10-20 matches ranked by Screen Fit Score (0-100). Triggered by "trade screen growth/value/momentum/dividend/earnings" or "trade screen custom <criteria>".

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zubair-trabzada/ai-trading-hermes36Updated Jun 4, 2026

Use when creating nonlinear outlines, generating mindmap diagrams for article structure, mapping a knowledge domain visually, or bridging raw ideas into structured options for the user to select from.

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Jeffallan/writing-with-agents36Updated Oct 29, 2026