Entroly Context Intelligence Skill
Use this skill to optimize context, query the codebase with token budgets, compress bulky tool outputs, and recover omitted code byte-for-byte using the Entroly MCP server.
Core Workflows
1. Token-Budgeted Codebase Selection (optimize_context)
When answering a complex question or preparing a refactor across multiple files:
- Call
optimize_contextwith your natural language query and a token budget (e.g.,budget=4000orbudget=8000). - Entroly executes a knapsack optimization algorithm that ranks AST fragments by relevance, entropy, and dependency relations.
- Returns surgical code fragments, line numbers, and a cryptographic Merkle receipt.
2. Semantic Code Recall (recall)
When searching for specific symbols, implementations, or interfaces:
- Call
recall(query="...")withtop_k=5ortop_k=10. - Returns ranked pointers with filenames, line numbers, and snippet digests.
3. Reversible Output Compression (compress & recover)
When dealing with large terminal dumps (build traces, test logs):
- Call
compress(data=..., budget=...)to distill down critical errors and signals while stripping noise. - Every compression produces a content-addressed SHA-256 handle.
- To restore the original uncompressed text at any time, call
recover(handle="...").
4. Codebase Health & Architecture Diagnostics (health)
To assess codebase quality before or after major changes:
- Call
health()to inspect clone pairs, dead symbols, god files, and architecture violations.
5. Grounding & Hallucination Verification (witness_verify)
To verify an agent claim or proposed code against source evidence:
- Call
witness_verify(claim=..., evidence=...)for local NLI-backed verification.
