Reuven 2e5c90c902 feat(plugins): ADR-098 Part 4 — standardize neural-learning hook ...

Closes the 16% gap (7 of 43 plugin agents) flagged by the ADR-098
audit: agents that completed tasks without feeding the SONA learning
loop, costing the system long-term improvement signal.

Each affected agent gets the canonical 5-line tail:

  ### Neural Learning

  After completing tasks, feed the <role-specific-context>:
  ```bash
  npx @claude-flow/cli@latest hooks post-task --task-id "TASK_ID" --success true --train-neural true
  ```

The "<role-specific-context>" is per-agent so the tail reads native
rather than copy-pasted:

  ruflo-daa/daa-specialist            adaptive-agent learning loop
  ruflo-goals/goal-planner            planner trajectory store
  ruflo-intelligence/intelligence-spec pattern-discovery learning loop
                                       (next RETRIEVE benefits from this run)
  ruflo-iot-cognitum/telemetry-analyz  telemetry baseline learning
                                       (Z-score thresholds adapt)
  ruflo-ruvllm/llm-specialist         router outcome learning
                                       (provider/model picks compound)
  ruflo-sparc/sparc-orchestrator      phase-quality learning loop
                                       (quality gates self-tune)
  ruflo-swarm/coordinator             coordination outcome learning
                                       (topology + role choices compound)

Re-audit confirms 0 of 43 plugin agents missing the hook (was 7 of 43).

ADR-098 acceptance-criteria item closed: "All 43 plugin agents include
a `hooks post-task --train-neural true` invocation."

Parts 1 (capability sync), 2 (token diet), 3 (model rightsizing), and
5 (worker dispatch) remain as separate iterations.

2026-05-03 21:56:52 -04:00

..

architect.md

feat: add 10 new ruflo plugins, optimize all 32, add READMEs and user guide

2026-04-29 23:46:54 -04:00

coordinator.md

feat(plugins): ADR-098 Part 4 — standardize neural-learning hook

2026-05-03 21:56:52 -04:00