Records atomic learned behaviors with confidence scores. Project-scoped instincts are isolated per project and auto-promote to global scope at confidence threshold 0.8. Stores instincts in .claude/context/memory/instincts.jsonl
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Records atomic learned behaviors with confidence scores. Project-scoped instincts are isolated per project and auto-promote to global scope at confidence threshold 0.8. Stores instincts in .claude/context/memory/instincts.jsonl
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使用 Flox 将开发工具、数据库、版本及配置集中到文件中,建立可在 macOS 和 Linux 上复现的开发环境,并与团队共享或为智能体添加项目工具。
从 Claude Code 中的修正、错误解决和重复操作中提取带置信度的行为规则,按项目分别管理,并将相关规则整合为技能、命令或智能体。
介绍在Claude Code会话结束时提取并保存可复用解决步骤的旧版机制。该版本已弃用,适合检查现有环境的兼容性、提取设置及已保存的学习内容。
Organizes project literature reviews in Obsidian, turning paper notes into linked summaries, method categories, research gaps, and a visual map. Writing drafts and comparison tables follow only when claims meet the required evidence checks.
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Bring external materials into a project’s Obsidian knowledge base as source notes organized by material type. Update the source registry, add important sources to the index, and record arrivals during active sessions in daily notes.
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Organize research knowledge by project in Obsidian, from creating folder structures and routing notes to maintaining daily logs, plans, and indexes. It also manages note changes and coordinates checks for broken links and registry consistency.
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Identify whether a Matrix chat room is a request source or a task workspace, then create or reuse a project-specific task room. The skill also handles worker invitation details and preserves information about where requests originated.
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[omh] Recurring lessons worth promoting: turn repeated project or cross-project lessons into atomic, confidence-scored instinct candidates with scoped promotion and export boundaries. Use when the user says: instinct-ledger, instinct ledger, project instincts, project-scoped instincts, project scoped instincts, global instincts, instinct review, instinct candidate.
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基于本能(Instinct)的学习系统,通过钩子(hooks)观察会话,创建带有置信度评分的原子本能,并将其演化为技能(Skills)、命令(Commands)或智能体(Agents)。v2.1 版本增加了项目作用域(project-scoped)的本能,以防止跨项目污染。
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Recall project-scoped Waggle history about a topic, component, decision, bug, experiment, or implementation attempt.
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Set up or update a project in the vault: the four-stage folder pipeline, a project-scoped CLAUDE.md with one goal, and links to the concept pages it depends on. Use this skill when the user starts something new they will work on over time, says "create a project", "set up a folder for X", or asks to define the goal and structure of ongoing work. Do NOT use for one-off tasks, for wiki pages about a topic, or for scoping an existing project down to work in it.
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Create, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the Agent AI Coding REST API. Use when an AI coding tool is asked to add an Agent, configure its model or prompt, bind a Skill, remove a Skill binding, or attach a published Workflow as a Tool.
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Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.
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Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.
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Cross-session cognitive persistence via Neural Memory MCP. Use when needing semantic recall of past decisions / errors / insights across projects — distinct from session-bridge (file-based, project-scoped). Provides hypothesis tracking, evidence chains, and graph-based associative memory.
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Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
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Turn any installed skill (gstack, custom, third-party) into an ATO agent the user can summon into war-rooms. Reads a SKILL.md, extracts the persona, strips runtime boilerplate, and writes an agent file at `.claude/agents/<slug>.md` (project-scoped) or `~/.claude/agents/<slug>.md` (global). Prompts for a model roster (primary + 1-2 alts) so cross-family dispatch in war-rooms produces real disagreement. Companion to `ato-warroom` — that skill summons agents this skill creates. Use when asked "turn this skill into an agent", "register X as a war-room agent", or when scoping a new persona before a war-room runs.
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Create reproducible, cross-platform development environments with Flox — a declarative environment manager built on Nix. ALWAYS use this skill when the user needs to: set up a project with system-level dependencies (compilers, databases, native libraries like openssl, libvips, BLAS, LAPACK); configure reproducible toolchains for Python, Node.js, Rust, Go, C/C++, Java, Ruby, Elixir, PHP, or any language; manage environments that must work identically across macOS and Linux; pin exact package versions for a team; run local services (PostgreSQL, Redis, Kafka) alongside development tools; onboard new developers with a single command; or solve 'works on my machine' problems. Especially valuable for AI-assisted and vibe coding — Flox lets agents install tools into a project-scoped environment without sudo, system pollution, or sandbox restrictions, and the resulting environment is committed to the repo so anyone can reproduce it instantly. Use this skill even if the user doesn't mention Flox — if they describe needing reproducible, declarative, cross-platform dev environments with system packages, this is the right tool. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
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Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
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[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.
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Lists the conventions for this project and demonstrates the project scope for Claude Code skills. Use when asked about project conventions, code style, or as a demonstration of project-scoped skills.
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Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
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