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Chameleon

v2.55.0 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-coding-assistant archetype ast-analysis claude-code claude-plugin code-conventions
+12 more
code-review code-style developer-tools javascript linter mcp mcp-server prompt-engineering python ruby rails typescript

Summary

AI summary

Added /chameleon-deep-work task‑execution discipline skill.

Full changelog

Added

  • /chameleon-deep-work - a task-execution discipline skill. Hands chameleon
    a whole task instead of a single edit: understand everything first, ask no
    clarifying questions (an unknown is dug out of the code, defaulted with a named
    flippable decision, or - only for a missing hard dependency - blocks with one
    line), map the change with the comprehension surface (describe_codebase,
    search_codebase, get_pattern_context, get_callers/get_callees,
    get_blast_radius, query_symbol_importers) plus reading the real files,
    present a 100%-understanding brief, then implement in a linked git worktree -
    where the per-edit injection, deny gates, and turn-end review stay live because
    a linked worktree inherits the main checkout's profile and trust
    (worktree.py). Ends with a delivery report keyed to the acceptance criteria,
    every default taken, and the integration options; pushing or merging stays on
    the user's explicit go. The skill is pure workflow prose: no engine change, no
    new tools, no new hooks. All command-count surfaces (README, CLAUDE.md,
    architecture.md, using-chameleon) updated to 14 user-invocable commands / 15
    skills, with the wiring pinned in test_command_wiring_docs.py.

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Related context

Earlier breaking changes

  • v3.0.0 MCP surface folded from 48 tools to 19; remaining 32 operator tools become actions on three dispatchers.

Beta — feedback welcome: [email protected]