LLM Mart Basic

Закрывает текущую Claude Code сессию — сохраняет лог в Obsidian/Claude/Sessions/, обновляет project note, обновляет INDEX.md, перегенерирует handoff.md (для Project Knowledge claude.ai) через /mm-handoff. Если в проекте есть GSD (.planning/ или .gsd/) — также вызывает /gsd-pause-

Онбординг/персонализация mm-системы под конкретного пользователя — спрашивает имя, чем занимается, стек, язык, путь к Obsidian vault, и записывает это в личный gitignored-оверлей config/mm-config.local.json + генерирует персональную копию claude.ai-скилла mm-web-bridge. Use when

Самообновление mm-системы из удалённого репозитория. mm раздаётся через git clone + register-skills (не npm), поэтому update = git pull свежего mm из origin/main + повторный register-skills + notice о перезапуске Claude Code. Use when user says "обнови mm", "обнови систему", "/mm

Создаёт приватный vault-репозиторий памяти проекта в Obsidian и пушит его на GitHub для синхронизации с claude.ai Knowledge. Use when user says "создай vault", "синхронизация памяти", "memory sync", "/mm vault", "/mm-vault".

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solutions before implementing" approach. Use when starting new features or adding functionality.

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

Analyze source material, find relevant paper, README, or awarded-proposal references, and design concise figures as editable PowerPoint objects. Use for overview, mechanism, workflow, or hero figures when an editable PPTX is wanted, including simplifying dense drafts and combinin

Context-aware router that detects work type and dispatches to the right skill. Ships with a minimal default routing table; extend it in a fork, or register project-local skills in a consuming repo via routing-table.local.md or an AGENTS.local.md Routing section.

Parallel delegation fan-out on Agy. The coordinating session decomposes and integrates while task units run in parallel as Agy processes (Gemini through the Antigravity CLI), never on the coordinator and never on Claude-side workers such as Sonnet subagents. Each unit runs unatte

Audit a GitHub README and rewrite it using modern 2025-2026 patterns — centered header, badges, hero image, GitHub alert callouts, emoji-prefixed features, expandable details, Mermaid diagrams, tables over dense prose. Produces a scannable README that works for a 10-second skim a

Analyze source material, find relevant paper, README, or awarded-proposal references, and design concise figures as editable PowerPoint objects. Use for overview, mechanism, workflow, or hero figures when an editable PPTX is wanted, including simplifying dense drafts and combinin

Context-aware router that detects work type and dispatches to the right skill. Ships with a minimal default routing table; extend it in a fork, or register project-local skills in a consuming repo via routing-table.local.md or an AGENTS.local.md Routing section.

Parallel delegation fan-out on Agy. The coordinating session decomposes and integrates while task units run in parallel as Agy processes (Gemini through the Antigravity CLI), never on the coordinator and never on Claude-side workers such as Sonnet subagents. Each unit runs unatte

Audit a GitHub README and rewrite it using modern 2025-2026 patterns — centered header, badges, hero image, GitHub alert callouts, emoji-prefixed features, expandable details, Mermaid diagrams, tables over dense prose. Produces a scannable README that works for a 10-second skim a

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Econo

Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

Use when an AI coding agent is writing or refactoring production code and its known failure modes need to be held in check — over-engineering, silent scope creep, invented APIs, claiming work is done without checking, deleting tests to make them pass. Trigger when the user asks f

Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Align

A green PR, a controller reporting success, and not one line of the new code running

Discover testnet↔mainnet subnet lineage from repo configs and open a PR for review (pass --dry-run to report only)

Triage raw inbox notes into reviewed repository destinations without deleting their sources.

Audit and rewrite content to remove AI writing patterns

Log a completed piece of content to content/log.md after the user confirms it was published.

Validate a dream artifact, review each proposal, and apply only individually accepted changes.

Run a curator pass against the validated memory directory and produce a proposal artifact.

End a session — log what happened, update state and the decision log, propose memory updates, and check for uncommitted or unpushed work

Find relevant context files by topic. Use when you need to load files for a topic without a slash command, or when a task spans multiple domains.

Inventory and migrate selected Gemini CLI workflows with dry-run review and parity checks.

Find repeated workflows in selected Gemini CLI sessions and draft portable skills after review.

Scan multi-session drift and offer individually reviewed fixes only after explicit approval.

Scan orphaned worktrees and stale branches, then offer explicit approval-gated cleanup.

Guided onboarding or import for durable workspace context

Start a session — load state files, flag staleness, and give a briefing on current priorities, deadlines, and blockers

Create a morning heartbeat from repository state and update the local heartbeat log.

Mid-session checkpoint — append progress to today's session log and update state files if a priority shifted, without ending the session

Maintainer-only. Find every file that would newly ship to adopters, classify each one against the written distribution-boundary categories, default to withhold on no clean match, and ask the maintainer only where the taxonomy does not settle it. Drives the release CLI, which refuses to produce a manifest until every shipping file has an answer.

Audit memory, wiki, and auto-loaded files for duplication, conflicting instructions, and stale content. The default path researches, then asks you a single Apply / Discuss / Decline question; on Apply it applies the report, files any out-of-scope problem as a tech-debt issue, then commits, opens a PR, and merges it on a main-branch run like /update-deps. Pass --apply to re-run the apply-and-publish stage against the most recent report.

Fix the tech-debt backlog, a single issue or a recommended related batch, highest severity then oldest first, on a fresh isolated branch through the audit gate, closing the issue(s) on merge. Pass `list` to see the ordered backlog, `why <issue-number>` to explain the recommendation, or a bare `<issue-number>` to fix that issue directly.

Health-check and auto-heal this project's Claude integration, triage, heal, verify, and report an F-to-A+ grade.

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Reliable AI Skill + MCP toolkit for agent-driven desktop CAD automation.

Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.

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MCP server and CLI tools for web search and crawling, built on SearXNG and Crawl4AI

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Roblox Studio macOS Window Capture Fix 2026: Real Screenshot Tool Instead of Magenta Playtest Glitch

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