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refactor(linkedin-studio): wire or delete 11 orphan agents (case-by-case) — 9 here, 2 in Steps 14/16

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Resolves the orphan-agent audit finding by the locked default: wire all, no deletions, so the agent count stays 19. Per agent, added Task to the target command's allowed-tools and a coherent 'subagent_type: linkedin-studio:<name>' delegation at a real point in the command's flow (not a token grep-match).

Wired (agents 1-9 of 11): video-scripter -> video.md (Step 4); content-optimizer -> post.md (Step 7 refinement) + ab-test.md (2a.4 optimized challenger); analytics-interpreter -> report.md (Step 7, report mode) + analyze.md (Step 2, interpret mode); content-planner -> batch.md (Step 2) + pipeline.md (Step 1); trend-spotter -> batch.md (Step 1) + pipeline.md (Step 1); network-builder -> outreach.md (Step 3a); strategy-advisor -> strategy.md (Step 3); voice-trainer -> setup.md (Step 3a); post-feedback-monitor -> calendar.md (publish action, 48h monitor).

Deferred to their dedicated steps: #10 differentiation-checker -> Step 14 (short-form de-AI gate), #11 engagement-coach -> Step 16 (first-hour command). Namespaced subagent_type form requires a session reload before the wired agents are invokable.

Verify: each of the 9 has >=1 invocation in commands/; structural lint 61/61 (counts 19/26/25/6 intact); agent-fixtures 35/35; hook tests 62/62. Three-doc + version reconciliation deferred to Step 21 per the locked plan [skip-docs].

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-05-30 01:26:36 +02:00
commit 9f65daa288
11 changed files with 28 additions and 5 deletions
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3
plugins/linkedin-studio/commands/report.md
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@ -11,6 +11,7 @@ allowed-tools:
- Read
- Glob
- AskUserQuestion
- Task
---
# LinkedIn Analytics Weekly Report
@ -303,7 +304,7 @@ Example recommendations:
## Step 7: Generate Actionable Recommendations
Based on the report data, provide 2-3 specific, actionable recommendations:
Delegate interpretation to the `analytics-interpreter` agent (report mode) — invoke it via `Task` with `subagent_type: linkedin-studio:analytics-interpreter` (foreground, from this command layer), passing the generated report data; it surfaces the patterns behind the numbers. Based on the report data and the agent's reading, provide 2-3 specific, actionable recommendations:
**Framework for recommendations:**