Self-contained skill for tracking technical changes with structured JSON records, an enforced state machine, and a session handoff format that lets a new AI session resume work cleanly when a previous one expires. Includes: - 5 stdlib-only Python scripts (init, create, update, status, validator) all supporting --help and --json - 3 reference docs (lifecycle state machine, JSON schema, handoff format) - /tc dispatcher in commands/tc.md Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
3.9 KiB
3.9 KiB
TC Lifecycle and State Machine
A TC moves through six implementation states. Transitions are validated on every write — invalid moves are rejected with a clear error.
State Diagram
+-----------+
| planned |
+-----------+
| ^
v |
+-------------+
+-----> | in_progress | <-----+
| +-------------+ |
| | | |
v | v |
+---------+ | +-------------+ |
| blocked |<---+ | implemented | |
+---------+ +-------------+ |
| | |
v v |
+---------+ +--------+ |
| planned | | tested |-----+
+---------+ +--------+
|
v
+----------+
| deployed |
+----------+
|
v
in_progress (rework / hotfix)
Transition Table
| From | Allowed Transitions |
|---|---|
planned |
in_progress, blocked |
in_progress |
blocked, implemented |
blocked |
in_progress, planned |
implemented |
tested, in_progress |
tested |
deployed, in_progress |
deployed |
in_progress |
Same-status transitions are no-ops and always allowed. Anything else is an error.
State Definitions
| State | Meaning | Required Before Moving Forward |
|---|---|---|
planned |
TC has been created with description and motivation | Decide implementation approach |
in_progress |
Active development | Code changes captured in files_affected |
blocked |
Cannot proceed (dependency, decision needed) | At least one entry in handoff.blockers |
implemented |
Code complete, awaiting tests | All target files in files_affected |
tested |
Test cases executed, results recorded | At least one test_case with status pass (or explicit skip with rationale) |
deployed |
Approved and shipped | approval.approved=true with approved_by and approved_date |
Recovery Flows
"I committed before testing"
- Status is
implemented. - Write tests, run them, set
test_cases[*].status = pass. - Transition
implemented -> tested.
"Production bug in a deployed TC"
- Open the deployed TC.
- Transition
deployed -> in_progress. - Add a new revision summarizing the rework.
- Walk forward through
implemented -> tested -> deployedagain.
"Blocked, then unblocked"
- From
in_progress, transition toblocked. Add blockers tohandoff.blockers. - When unblocked, transition
blocked -> in_progressand clear/move blockers tonotes.
"Cancelled work"
There is no cancelled state. If a TC is abandoned:
- Add a final revision: "Cancelled — reason: ...".
- Move to
blocked. - Add a
[CANCELLED]tag. - Leave the record in place — never delete it (history is append-only).
Status Field Discipline
- Update
statusONLY throughtc_update.py --set-status. Never edit JSON by hand. - Every status change creates a new revision entry with
field=status,action=changed, andreasonpopulated. - The registry's
statistics.by_statusis recomputed on every write.
Anti-patterns
| Anti-pattern | Why it's wrong |
|---|---|
Skipping tested and going straight to deployed |
Bypasses validation; misleads downstream consumers |
| Deleting a record to "cancel" a TC | History is append-only; deletion breaks the audit trail |
| Re-using a TC ID after deletion | Sequential numbering must be preserved |
Changing status without a --reason |
Future maintainers cannot reconstruct intent |
Long-lived in_progress TCs (weeks+) |
Either too big — split into sub-TCs — or stalled and should be marked blocked |