team-diagnose

SkillDev tools

Lets your agent diagnose why team rules or skills failed to load by running ordered checks and reporting evidence.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the team-diagnose skill

About this skill

Use when the team context did not appear at session start, a skill failed to trigger, the install behaves unexpectedly, or someone asks why a session ran without team rules, walks the failure chain with commands and evidence before any conclusion.

What this skill tells your AI

The instructions your AI receives, as published by tikalk/adlc-team-skills in skills/team/team-diagnose/SKILL.md and read by ahel’s review.

Overview

Evidence-first diagnosis of broken adlc-team-skills wiring. The chain has exactly five links, each checkable with one command — a diagnosis without command output is a guess, and guesses get pasted into bug reports.

Boundary: this repo owns .events.json and the boot scripts' output. The injection side (dispatchers, generated per-agent plugins) is owned by adlc-cli — the docs/event-hook-contract.md file in the adlc-team-skills repo draws the line. Diagnose up to it, then route.

When to Use

  • Team context missing at session start (no Team Context in Use section).
  • A rule that should have matched didn't load.
  • Install behaves unexpectedly after an update.

When NOT to use: for application bugs unrelated to the team-context chain, or for skill behavior debates (that's a goldset/eval question).

Core Process

Run the checks in order — stop at the first failure, fix, re-run:

#Symptom areaCheck (run it)Green means
1Not configuredcat .adlc/init-options.jsonA team_ai_directives path that exists
2Missing toolcommand -v jqjq on PATH (skills registry needs it)
3Broken handlerbash .agents/skills/team-boot/scripts/boot.sh from the project rootThe directives index on stdout, wrapped in EXTREMELY_IMPORTANT
4Stale installpytest tests/unit/test_generated_artifacts_sync.py -q (in the skills repo) or compare skills/**/SKILL.md vs .agents/skills/ namesMirror matches source
5Injection sideGenerated plugin present and loaded for the agent?If 1–4 are green and the session still lacks context → adlc-cli's territory — file there with the outputs of checks 1–4 attached

For "a rule didn't load" specifically: confirm the session began with the index (check 3's content), then check the task actually matched the rule's descriptor — on-demand pull is match-driven, not mind-reading.

Whole-loop check: scripts/acceptance-test.sh scratch-installs and asserts the chain end-to-end (add --live for a real agent session).

Report format

For a bug report, include: the failing check number, the command, its verbatim output, agent name/version, and how the repo was installed (npx skills add vs adlc-cli). No scrubbed narrative — raw output.

Red Flags

  • Concluding before running a command — every check is one command.
  • "Reinstall everything" before reading check 3's output.
  • Blaming a skill's content when check 1–3 failed (config, not skills).
  • Filing injection-side bugs in adlc-team-skills (check 5 routes them).

All of these mean: run the checks, then report.

Verification

A diagnosis is done when:

  • Checks 1–4 each ran with output captured (or 5 routed with evidence)
  • The failing link is named with its command output
  • The report routes to the owning repo

Signals

GitHub stars
137
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Key
team-diagnose
Source
github.com/tikalk/adlc-team-skills