Implements escalation chains per skill with three-layer priority:
1. Caller override (model param) — no escalation
2. Per-skill chain from models.yaml
3. default_chain fallback
New APIs:
- Verifier() — fixed verifier for output validation
- LlamaSwapURL() — base URL for warm-state probing
- ChainFor(skill, override) — ordered model list for escalation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Reader agent scans session logs for SFT/DPO candidates; writer receives
reader output and formats+writes training pairs to brain/training-data/.
Adds trainer-reader.md and trainer-writer.md discipline prompts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds the spec skill that generates structured implementation specs from
requirements and writes them to a configurable output path in the project.
Follows the same pattern as review/debug skills with session history injection.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements the debug skill following the same pattern as review. The skill
accepts project_root + error (+ optional context/model/session_id), prepends
session history, and calls the executor to produce 3-5 ordered hypotheses —
diagnosis only, no fixes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements the review skill following the same pattern as retrospective/tdd.
Validates project_root and files args, prepends session history when a
session_id is provided, and delegates to the executor with Read,Bash tools.
Iron-law discipline prompt enforces CRITICAL/WARNING/SUGGESTION output format.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
