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feat(catalog): T4 — catalog trim + proactive-suggestions.json (Phase A.4)
Shortens frontmatter `description:` in every Claude SKILL.md to a single
lead sentence + (gstack) tag. The routing prose ("Use when asked to...",
"Proactively suggest...") and voice triggers move to a "## When to invoke"
body section so they remain discoverable inside the skill. A per-run
registry at scripts/proactive-suggestions.json aggregates the routing/
voice text for all 52 skills so agents can pull guidance on demand
without paying for it in the always-loaded catalog.
Build flag --catalog-mode=full restores v1.44 legacy behavior (full
multi-line descriptions in frontmatter). Default is trim.
splitCatalogDescription() extracts: lead sentence, routing paragraphs,
voice-triggers line, (gstack) tag presence. Short descriptions (<120
chars, already trimmed) are skipped via a guard so re-runs are idempotent.
Measured impact (vs v1.44.1 baseline):
- Catalog tokens (sum of description bytes / 4): 9,319 → 4,045 (-56.6%)
- Total SKILL.md corpus bytes: 2,915 KB → 2,880 KB (-1.2%)
- Routing prose preserved as in-skill "## When to invoke" sections
- 52 skill entries in scripts/proactive-suggestions.json (on-demand registry)
The corpus drop is small because catalog trim MOVES text from frontmatter
to body, it doesn't delete it. The headline win is the catalog: the
always-loaded system prompt surface drops by more than half.
Test plan:
- bun test test/gen-skill-docs.test.ts: 389 pass, 0 fail
- Manual: ship/SKILL.md frontmatter description is now ONE line ending
with `(gstack)`; allowed-tools field on next line (YAML well-formed)
- Manual: scripts/proactive-suggestions.json contains 52 entries
- bun run gen:skill-docs --catalog-mode=full restores legacy behavior
53 files changed (52 SKILL.md across hosts + the new proactive-suggestions.json).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -2,16 +2,7 @@
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name: ios-fix
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preamble-tier: 3
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version: 1.0.0
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description: |
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Autonomous iOS bug fixer. Takes a bug found by /ios-qa, reads the source,
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writes the fix, rebuilds, redeploys, and verifies the fix on the real
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device. Closes the loop: find bug → fix bug → confirm fix — zero human
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intervention. Captures the pre-bug state snapshot as a regression test
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fixture, so the bug can never recur silently.
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Use when /ios-qa reports a bug and you want it fixed automatically, or
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when asked to "fix this iOS bug", "patch the iPhone app", or "auto-fix
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the iOS issue". (gstack)
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Voice triggers (speech-to-text aliases): "fix the iOS bug", "patch the iPhone app", "auto-fix the iOS issue".
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description: Autonomous iOS bug fixer. (gstack)
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allowed-tools:
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- Bash
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- Read
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@@ -28,6 +19,20 @@ triggers:
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<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
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<!-- Regenerate: bun run gen:skill-docs -->
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## When to invoke this skill
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Takes a bug found by /ios-qa, reads the source,
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writes the fix, rebuilds, redeploys, and verifies the fix on the real
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device. Closes the loop: find bug → fix bug → confirm fix — zero human
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intervention. Captures the pre-bug state snapshot as a regression test
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fixture, so the bug can never recur silently.
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Use when /ios-qa reports a bug and you want it fixed automatically, or
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when asked to "fix this iOS bug", "patch the iPhone app", or "auto-fix
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the iOS issue".
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Voice triggers (speech-to-text aliases): "fix the iOS bug", "patch the iPhone app", "auto-fix the iOS issue".
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## Preamble (run first)
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```bash
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