84 files spanning provider capabilities, model routing, headless
runtime, sf auto subsystems, gitbook docs, and test coverage. Snapshotted
so headless auto can resume M004 (Production Readiness) S03
(Verification Gate Validation) on a clean tree.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Caveman skill (output compression) installed at ~/.claude/skills/caveman/
and activated for dr-repo. Two follow-ups for INPUT-side compression
remain — sf's own prompts are verbose (execute-task alone has 10-step
instructions, runtime context, multiple inlined plans), and that's paid
on every dispatch:
- Tier 2 (1-2 days): Manually rewrite heaviest prompt sections in
caveman style. Preserve intent + nuance, drop fluff. Compare against
current to confirm no quality regression.
- Tier 3 (3-4 days): Runtime input preprocessor — pipe rendered prompt
through caveman-compress (sub-skill, ~46% reduction) before dispatch.
Behind a terse_prompts: true flag. Adds drift risk vs authored intent;
needs comparison harness.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Adds step 0a: when independent reads/greps are needed, batch them in a
single assistant turn instead of one-at-a-time. The existing step 0
already pushed for terse narration, but didn't address the bigger waste
— sequential tool calls when parallel would work. Common case: reading
handler + test + schema to triangulate a bug — three reads in one turn,
not three turns.
Also nudges away from "talking-then-doing": if the next action is
unambiguous, just take it. Describing intent before every call is the
dead weight that adds up to 30-50% extra round-trips.
Behavior fix only (prompt-level). Model can still narrate inside its
thinking channel since that's a model property; this targets the
chat/tool-use channel where the user pays per turn.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
