hive.colony-progress-tracker
SkillDatabases & dataThis skill connects your AI to a shared task queue stored in a SQLite database. Once added, your AI can claim tasks from the queue, record its progress on each step, and check that required gates are met before work continues. It applies when the message that starts your AI includes a database path.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, make sure the message that starts your AI includes a db_path field pointing to the task database. Your AI will use that location to claim and update tasks.
Then ask your AI: use the hive.colony-progress-tracker skill
What your AI can do with it
- Claim tasks from a shared queue
- Record progress as each step of a task is completed
- Check that required SOP gates are met before moving on
- Work with a task queue stored in a SQLite database
- Pick up the database location from the db_path field in the starting message
What this skill tells your AI
The instructions your AI receives, as published by aden-hive/hive in core/framework/skills/_default_skills/colony-progress-tracker/SKILL.md and read by ahel’s review.
Operational Protocol: Colony Progress Tracker
Applies when your spawn message has db_path: and colony_id: fields. The DB is your durable working memory — tells you what's done, what to skip, which SOP gates you owe.
Access via terminal_exec running sqlite3 "<db_path>" "...". Tables: tasks (queue), steps (per-task decomposition), sop_checklist (hard gates).
Claim: assigned task (check this FIRST)
If your spawn message includes a task_id: field, the queen pre-assigned a specific row to you. Claim that row by id — do not use the generic next-pending pattern below:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id='<task_id>' AND status='pending'
RETURNING id, goal, payload;
SQL
Empty output → another worker raced you or the row is already done. Stop and report. Non-empty → that row is yours, proceed to "Load the plan".
Claim: next pending (fallback when no task_id is assigned)
If your spawn message did NOT include task_id: — you are a generic fan-out worker racing on a shared queue. Use the generic next-pending claim:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id=(SELECT id FROM tasks WHERE status='pending'
ORDER BY priority DESC, seq, created_at LIMIT 1)
RETURNING id, goal, payload;
SQL
Empty output → queue drained, exit. Otherwise the returned id is yours. Never SELECT-then-UPDATE — races.
Load the plan
sqlite3 "<db_path>" "SELECT seq, id, title, status FROM steps WHERE task_id='<task-id>' ORDER BY seq;"
sqlite3 "<db_path>" "SELECT key, description, required, done_at FROM sop_checklist WHERE task_id='<task-id>';"
Skip any step where status='done'. That's the point — don't redo completed work.
Execute a step
Before tool calls:
sqlite3 "<db_path>" "UPDATE steps SET status='in_progress', worker_id='<worker-id>', started_at=datetime('now') WHERE id='<step-id>';"
After success (one-line evidence: path, URL, key result):
sqlite3 "<db_path>" "UPDATE steps SET status='done', evidence='<what you did>', completed_at=datetime('now') WHERE id='<step-id>';"
MANDATORY: SOP gate check before marking task done
sqlite3 "<db_path>" "SELECT key, description FROM sop_checklist WHERE task_id='<task-id>' AND required=1 AND done_at IS NULL;"
- Empty → proceed to "Mark task done".
- Non-empty → each row is work you still owe. Do it, then check it off:
sqlite3 "<db_path>" "UPDATE sop_checklist SET done_at=datetime('now'), done_by='<worker-id>', note='<why>' WHERE task_id='<task-id>' AND key='<key>';"
Never mark a task done while this SELECT returns rows. This gate exists specifically to stop you from declaring success while skipping required steps.
Mark task done / failed
# Success:
sqlite3 "<db_path>" "UPDATE tasks SET status='done', completed_at=datetime('now'), updated_at=datetime('now') WHERE id='<task-id>' AND worker_id='<worker-id>';"
# Unrecoverable failure:
sqlite3 "<db_path>" "UPDATE tasks SET status='failed', last_error='<one sentence>', completed_at=datetime('now'), updated_at=datetime('now') WHERE id='<task-id>' AND worker_id='<worker-id>';"
The AND worker_id=? guard means a reclaimed row won't accept your write — treat zero rows affected as "your claim was revoked, stop."
Loop
After done/failed → claim the next task. Exit only when claim returns empty.
Errors + debug
- "database is locked": retry with 100ms → 1s backoff, max 5 attempts.
busy_timeout=5000handles most contention silently. - Queue health:
SELECT status, count(*) FROM tasks GROUP BY status; - Your in-flight work:
SELECT id, goal, status FROM tasks WHERE worker_id='<worker-id>';
Anti-patterns (will break the queue)
- Don't DDL (CREATE/ALTER/DROP).
- Don't DELETE — failed tasks stay as
failedfor audit. - Don't skip Protocol 4 (SOP gate) before marking done.
- Don't hold a task >15min without updates — the stale-claim reclaimer revokes your claim.
- Don't invent task IDs. Workers update existing rows; only the queen enqueues new ones.
Signals
- GitHub stars
- 11k
- Forks
- 6k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
hive-colony-progress-tracker- Source
- github.com/aden-hive/hive