- Home
- Skills
- Agents & Orchestration
- lean-context
Works with the AI Agents you already use
Lean Context
Cut Claude Code and Cursor token costs by 30-50% with AST-aware context compression, skeleton extraction, and budget guards.
$12
lean-context
Example session with this skill installed
I need to understand the structure of the core engine in this repo, but the files are huge. Help me map it out without hitting context limits.
- Read your context and instructions
- Compiled the lean-context
I have scanned the repository and generated a compressed map of the core engine. I filtered out all build artifacts and pruned Python files to their signatures to stay within your token budget.
Repository Context Summary
| File Path | Original (Tokens) | Compressed (Tokens) | % Saved |
|---|---|---|---|
engine/core.py | 1,840 | 420 | 77% |
engine/utils/math.py | 950 | 180 | 81% |
engine/handlers/events.py | 1,200 | 310 | 74% |
| Total | 3,990 | 910 | 77% |
# engine/core.py (Compressed AST View)
class ExecutionEngine:
"""Main orchestrator for task execution."""
def __init__(self, config: dict): ...
def register_handler(self, name: str, handler: Callable):
"""Registers a new event handler to the engine."""
...
def run_sync(self, task_id: str) -> Result:
"""Executes a task synchronously and returns the Result object."""
...
class Result:
def __init__(self, status: str, data: Any): ...
.
└── engine/
├── __init__.py
├── core.py
├── handlers/
│ ├── __init__.py
│ └── events.py
└── utils/
├── __init__.py
└── math.py
Next steps
- Would you like me to expand the full body of a specific method in
core.py? - I can perform a
lean-contextdiff if you have pending changes to these files. - Type
show me the structureat any time to refresh this map.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem Large Python codebases quickly exhaust LLM context windows. Manually stripping boilerplate to save tokens is slow and error-prone.
What it does
- AST-aware file summaries (signatures only)
- Low-token directory tree skeletons
- Git diff summarization for code review
- 3,000-token HITL budget per cycle
- Zero external dependencies (Python 3.8+ stdlib only)
Why it beats prompting yourself Generic prompts miss edge cases: large files, nested directories, build artifacts. lean-context ships dedicated scripts with budget enforcement.
Use cases
- Inspect or refactor a 2,000-line file without blowing context
- Map repo structure before deep analysis
- Review PR diffs without dumping full files
- Stay under token budget on long sessions
Limitations v1.0 is Python only. TypeScript support arrives in v1.1.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scanned
Verified clean 11 days ago
- Passed all security checks, Safe to install
Requires