improve-agentlisted

# Improve Agent Formula Surgical improvement of a formula TOML based on observed execution failures or required manual intervention. ## Invocation `/improve-agent <formula-path>` or `/improve-agent <agent-name>` If agent-name given, resolve to `$AF_ROOT/.agentfactory/store/formulas/<agent-name>.formula.toml`. ## Phase 1: Gather Evidence Collect what went wrong. Ask the user if not already clear from conversation context: 1. **What manual work was required after the formula ran?** 2. **Which files/paths were affected?** 3. **What was the expected state vs actual state?** Record as a structured gap: ``` GAP: <one-line description> EXPECTED: <what should have happened> ACTUAL: <what happened instead> MANUAL FIX: <what the operator had to do> AFFECTED PATHS: <specific files/directories> ``` ## Phase 1.5: Context Review Phase 1 collects what the operator noticed. This phase collects what the run **measured** — the per-step context figures the formula's own step records carry. Do it before reading the formula, so Phase 2 already knows which steps are suspect. 1. **Find this run's instance.** Read `.runtime/improvement_pending` (relative to your own agent directory) and take its `instance_id` field. The marker survives the whole improvement session — it is consumed only by `af improvement complete`. 2. **Pull the report.** ```bash af telemetry report --instance <instance_id> --json ``` Read the JSON body, not the exit code: this command reports i