Manages context overflow by handing off to a fresh subagent at 80% usage
编程
context-map
试用Generates a compressed project context map to avoid expensive Read/Grep calls. Use at session start or before implementing features in an unfamiliar codebase
它能做什么
Generates a compressed project context map to avoid expensive Read/Grep calls. Use at session start or before implementing features in an unfamiliar codebase
技能文档
Night Market Skill — ported from claude-night-market/conserve. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Context Map
Generate a compressed context map for the current project. The map pre-compiles structural knowledge that AI assistants would otherwise discover through expensive Read/Grep calls, saving thousands of tokens per session.
When to Use
- At the start of a session to understand project layout
- Before implementing features to identify entry points
- When exploring an unfamiliar codebase
- To reduce token waste from Read calls
- To identify hot files (high blast radius) before changes
What It Detects
| Category | Description |
|---|---|
| Structure | Directory layout with file counts and languages |
| Dependencies | Multi-ecosystem: Python, Node, Rust, Go, Java |
| Frameworks | Framework detection from dependency analysis |
| Entry Points | main.py, index.ts, CLI scripts, etc. |
| Import Graph | File-to-file import relationships |
| Hot Files | Files imported by 3+ others (high blast radius) |
| Routes | FastAPI, Flask, Express, Hono API endpoints |
| Env Vars | Environment variable references with defaults |
| Middleware | Auth, CORS, rate-limit, logging patterns |
| Models/Schemas | SQLAlchemy, Django, Pydantic, Prisma definitions |
| Token Savings | Estimated tokens saved vs manual exploration |
Procedure
- Run the scanner on the project root:
PYTHONPATH="$(find . -path '*/conserve/scripts' -type d \
-print -quit 2>/dev/null || \
echo 'plugins/conserve/scripts')" \
python3 -m context_scanner .
-
Present the output to the user as the project overview.
-
Use the context map to guide subsequent file reads. Prioritize hot files and entry points first.
Options
Output
--format jsonfor structured output--max-tokens Nto adjust output size (default: 5000)--output FILEto save to a file
Modes
--blast FILEto show blast radius for a specific file--section NAMEto output a single section (routes, deps, env, hot-files, models, structure, middleware, frameworks)--wiki-onlyto generate wiki articles without stdout
Opt-out
--no-cacheto force a fresh scan--no-wikito skip wiki article generation
Wiki Articles
The scanner generates per-topic knowledge articles in
.codesight/ for selective context loading:
python3 scanner.py .
# Creates .codesight/INDEX.md, auth.md, database.md, etc.
Load only what you need per session instead of the full map:
python3 scanner.py --section routes .
# ~200 tokens vs ~5,000 for the full map
Example Output
# Context Map: myproject
Files: 127
## Structure
src 42 files (Python)
tests 18 files (Python)
docs 5 files (Markdown)
## Dependencies (Python)
Package manager: uv
- fastapi 0.104.0
- pydantic 2.5.0
- sqlalchemy 2.0.0
...12 more
## Frameworks Detected
- FastAPI
- SQLAlchemy
- Pytest
## Routes
GET /users (src/routes/users.py)
POST /users (src/routes/users.py)
GET /users/{id} (src/routes/users.py)
## Hot Files (high blast radius)
- src/models/base.py (12 importers)
- src/utils/auth.py (8 importers)
## Environment Variables
- DATABASE_URL (required)
- SECRET_KEY (has default)
## Token Savings: ~12,600 tokens saved
Routes: ~1,200
Hot files: ~300
Env vars: ~200
File scanning: ~10,200
相关技能
Recommends context compression strategies for bloated or quota-heavy sessions
Maps file structure and module organization of a codebase. Use before architecture reviews, refactoring planning, or migration scope estimation
Optimizes context window via MECW principles and memory tiering
Detects codebase bloat via dead code, duplication, complexity, and doc bloat scans
Summarizes recent git changes for context recovery after session breaks