一键导入
prime
Load project context for a domain area. Use when starting work on an unfamiliar module or when context feels stale.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Load project context for a domain area. Use when starting work on an unfamiliar module or when context feels stale.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Evidence-gated completion check. Use before committing, creating PRs, or claiming work is done. Pairs with verification-spec at task start.
Systematic knowledge extraction from open-source projects. Use when: user shares a repo/link to study, says 偷师/steal/学习/研究, or wants to analyze another project's patterns for adoption.
Launch a real interactive claude CLI session in a target directory (typically a worktree) with a pre-seeded prompt. Use when the current session cannot absorb the task context — e.g., N parallel worktree jobs that would blow the context window, or when you need the user to watch progress in a visible terminal. Each spawned session runs independently in its own Windows Terminal tab.
FileNotFound recovery protocol. Before reporting a missing-file error, suggest near-misses by basename similarity (difflib threshold 0.4) so typos and stale paths fail loudly with actionable hints.
Paste-by-reference guard for Edit calls. When new_string would echo >30 lines of existing file content, use {{file:path:start:end}} reference instead and expand before submission.
File-IO protocol for parent ↔ subagent communication. Parent writes input.txt + context.json, subagent appends to output.txt with [ROUND END] sentinels. Used with Monitor tool for live observation.
| name | prime |
| description | Load project context for a domain area. Use when starting work on an unfamiliar module or when context feels stale. |
| user_invocable | true |
| argument-hint | [docker|channel|soul|governance] |
| origin | Orchestrator — earned through direct practice (see commit history) |
| source_version | 2026-04-18 |
Rapidly load project context for the requested domain and output a scannable summary. This is NOT documentation — it's active context injection that makes your next actions more informed.
Based on $ARGUMENTS, pick ONE variant:
| Argument | Domain | Key Entry Points |
|---|---|---|
| (empty) | Full project overview | boot.md + CLAUDE.md + src/ top-level |
docker | Docker services layer | docker-compose.yml, collectors, dashboard |
channel | Channel/messaging layer | src/channels/, telegram/, wechat/ |
soul | SOUL identity + skills + hooks | .claude/, SOUL/, hooks, skills |
governance | Governance pipeline | src/governance/, executor, approval, eval |
Always read first (regardless of variant):
.claude/boot.md — identity and relationship contextCLAUDE.md — project rules and constraintsThen read variant-specific files (see tables below).
Run ls on the relevant directories to understand current file layout.
Format as a scannable brief (bullets, tables, NOT prose). Target: <300 words.
## Prime: [variant]
### Structure
[directory tree or table of key files]
### Entry Points
[3-5 files that are the starting points for work in this domain]
### Key Patterns
[2-3 patterns/conventions specific to this area]
### Current State
[any notable recent changes from git log --oneline -5]
### Watch Out
[1-2 gotchas or non-obvious things]
Read:
src/ top-level directory listingdocker-compose.yml (if exists)package.json or pyproject.toml (if exists)Focus: What is this project? What are the major modules? What's the tech stack?
dockerRead:
docker-compose.ymlsrc/collectors/ directory listingdashboard/ directory listing (if exists).env.example or .env structure (DO NOT output values)Focus: What services run? What ports? What volumes? How do collectors work?
channelRead:
src/channels/__init__.pysrc/channels/base.pysrc/channels/telegram/channel.py (first 80 lines)src/channels/config.pysrc/channels/registry.pyFocus: How do messages flow in? What's the adapter interface? How is routing done?
soulRead:
.claude/boot.md.claude/settings.jsonSOUL/public/prompts/ directory listing.claude/skills/ directory listing.claude/hooks/ directory listingFocus: What skills exist? What hooks are active? What's the prompt architecture?
governanceRead:
src/governance/executor.py (first 80 lines)src/governance/approval.py (first 50 lines)src/governance/eval/ directory listingsrc/governance/pipeline/ directory listingsrc/governance/supervisor.py (first 50 lines)Focus: How does task execution work? What's the approval flow? What eval capabilities exist?