SDLC Workflow Status

SkillDev tools

Check the status of running or recent SDLC delegated workflows.

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

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the SDLC Workflow Status skill

What this skill tells your AI

The instructions your AI receives, as published by stevegjones/ai-first-sdlc-practices in skills/workflows-status/SKILL.md and read by ahel’s review.

Query Archon workflow runs — live + historical — without depending on archon being on PATH.

Arguments

  • --running — show currently running workflows only
  • --recent N — show the latest N runs (default 20)
  • <run-id> — show full detail for a specific run, including every node event in order

Steps

1. Query the Archon state

The archon CLI only exposes archon workflow status (active runs, no run-id filter) and archon workflow list (available workflows, not runs). Neither covers the ask. Use the query helper instead — it prefers the REST API on archon serve (if running) and falls back to reading the SQLite state DB at ~/.archon/archon.db:

python3 ${CLAUDE_PLUGIN_ROOT}/scripts/workflows_status_query.py \
    [--running | --recent <N> | --run-id <id>]

Additional flags:

  • --url <base> — override the REST URL (default http://localhost:3090)
  • --no-rest — skip the REST probe entirely, go straight to SQLite
  • --json — machine-readable output (one JSON object per response)
  • --timeout <sec> — REST probe timeout before falling back (default 1.0)

Behaviour matrix:

archon serve running?Output source
YesREST API — live + historical, richest
NoSQLite read — historical + most-recent, read-only

If neither is available (fresh machine, no Archon state yet), the script returns (no workflow runs found) cleanly — this is not an error.

Important — Archon UI clickthrough is degraded for CLI-launched runs. archon serve only renders the rich UI (DAG graph, conversation thread, live events) for workflows launched through the server. Workflows started by /sdlc-workflows:workflows-run use the CLI path — they write to the same SQLite DB and show up in archon workflow status and in this skill, but the web UI's per-run detail pages will render empty for them. This is how Archon 1.x scopes the server — not a bug on our side. For CLI-launched runs use this skill (REST or SQLite), the CLI's own stderr stream, or docker logs -f.

Prefix matching on --run-id: the --recent table only prints the first 8 characters of each id. The helper accepts any unique prefix — no need to look up the full 32-char UUID. If two runs share a prefix you will get an "ambiguous" error; paste more characters.

2. Present results

Default output is a table:

Source: rest  (archon serve)
RUN ID     WORKFLOW                       STATUS       STARTED              STEP
---------------------------------------------------------------------------------
bbdfce69   feature-pipeline               completed    2026-04-19 20:26:10
a1b2c3d4   parallel-review-pipeline       running      2026-04-19 20:30:02  2

Report to the user:

  • The source row (REST vs SQLite) — if SQLite, hint that starting archon serve in another terminal gives live event data and opens the Archon web UI at http://localhost:3090, which visualises every run, every node, every event.
  • The table as-is, or summarise the top 5 with bullet points if the user asked for a narrative.
  • For --run-id, the detail block shows per-node node_started / node_completed / node_failed events in order — highlight any failures.
  • If any listed run is failed, remind the user that archon workflow run <name> --resume picks up the most recent failed run from where it stopped.

3. Companion skills

  • /sdlc-workflows:workflows-run <name> — launch a new workflow.
  • Live per-node output during a run: the CLI streams every node's stderr to your terminal as [node-name] <line>. No extra helper needed.
  • docker ps --filter name=sdlc-worker and docker logs -f <container> — the currently-running node containers behind any preprocessed workflow.

Signals

GitHub stars
41
Forks
6
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
workflows-status
Source
github.com/stevegjones/ai-first-sdlc-practices