mohamedabdallah-14/wazir/prepare-next

Quick check before you begin — is there a wz: skill for what you're about to do? If yes, use it. Also, your phase checklist at .wazir/runs/latest/phases/ needs to be open and followed. Have you looked at it?

Prepare Next

Model Annotation

When multi-model mode is enabled:

• Haiku for file operations (write-handoff, compress-archive)
• Sonnet for learning extraction (extract-learnings)

Command Routing

Follow the Canonical Command Matrix in hooks/routing-matrix.json.

• Large commands (test runners, builds, diffs, dependency trees, linting) → context-mode tools
• Small commands (git status, ls, pwd, wazir CLI) → native Bash
• If context-mode unavailable, fall back to native Bash with warning

Codebase Exploration

1. Query wazir index search-symbols <query> first
2. Use wazir recall file <path> --tier L1 for targeted reads
3. Fall back to direct file reads ONLY for files identified by index queries
4. Maximum 10 direct file reads without a justifying index query
5. If no index exists: wazir index build && wazir index summarize --tier all

Create a next-run handoff that captures the run outcome and sets up the next session.

When to Run

This skill corresponds to completion pipeline Stage 8 (Prepare Next Session) in docs/vision/pipeline-complete.md.

One of two modes:

1. Run Complete — All completion stages finished (any sign-off: SHIP, SHIP WITH CAVEATS, or DO NOT SHIP). Produce execution-summary.md. The summary includes the sign-off recommendation — DO NOT SHIP runs still get a summary documenting what was found and why.
2. Run Incomplete — Session ending before pipeline finishes, or slice boundary. Produce handover-batch-N.md.

Step 1: Gather Run State

Read from the current run directory:

• run-config.yaml — run identity, intent, depth
• completion/final-review/ — all pass reports (pass-1-internal.md, pass-2-cross-model.md, pass-3-reconciliation.md if exists)
• completion/final-review/finding-adoption.md — which findings led to code changes
• completion/concerns/ — concern resolution output
• completion/integration/ — integration verification results
• reviews/ — all per-task review pass logs
• artifacts/ — task completion evidence
• clarified/ — spec, design, plan artifacts
• user-input-log.ndjson — user corrections (for learning proposals section)
• Git log since branch creation: git log --oneline main..HEAD

Step 2: Write Output

Humanization Gate

After drafting any prose output artifact (execution-summary or handover), invoke wz:humanize on the draft before writing to disk (domain: technical-docs). Fix any high/medium findings. The execution summary is the final pipeline deliverable — it must read as authored, not generated.

Mode 1: Run Complete → execution-summary.md

Write to .wazir/runs/<run-id>/execution-summary.md:

# Execution Summary — <run-id>
 
**Status:** Complete
**Branch:** <branch-name>
**Date:** YYYY-MM-DD
**Sign-off:** SHIP / SHIP WITH CAVEATS / DO NOT SHIP
 
## What Was Built
[Linked to spec requirements, status per requirement]
 
## Verification Summary
Sanity check: are you still using wz: skills where they apply, or did you start doing things manually because it felt faster? The skills exist for consistency, not convenience. Which skill should you be using right now?
[Tests: N pass / N fail. Type errors: N. Lint errors: N. Coverage: N%]
 
## Concerns and Resolutions
[Final disposition of each concern from completion Stage 2]
 
## Final Review Findings
[Per pass: Pass 1 (internal) — N findings. Pass 2 (cross-model) — N findings. Pass 3 (reconciliation) — ran/skipped.]
[Finding adoption rate: X% of findings led to code changes]
 
## Residuals
[Residuals from execution and their final disposition]
 
## Learning Proposals
[Count by impact (HIGH/MEDIUM/LOW), pointer to memory/learnings/proposed/]
 
## Quality Delta
[Per-dimension first-pass vs final-state scores]
 
## Cost and Timing
[Token usage, wall-clock time per phase]
 
## Commits
[git log --oneline of all commits in this run]

Mode 2: Run Incomplete → handover-batch-N.md

Write to .wazir/runs/<run-id>/handover-batch-N.md:

# Handover — <run-id> Batch N
 
**Status:** Incomplete
**Branch:** <branch-name>
**Date:** YYYY-MM-DD
 
## Subtask Status
[Completed / in-progress / remaining subtask IDs with status and lifecycle state]
 
## Accumulated Concerns
[DONE_WITH_CONCERNS entries pending resolution]
 
## Blocked Subtasks
[Subtask IDs with reasons and lifecycle state (abandoned, upstream_failed, waiting_on_user)]
 
## Partial Learnings
[Learnings discovered during this batch]
 
## Environment State
[Active branches, worktrees, provisioned runtime isolation]
 
## Resume Prompt
[~500 tokens, self-contained, references files for depth]

Step 3: Run Summary

wazir capture summary --run <run-id>

Rules

• Do NOT mutate input/ — it belongs to the user
• Do NOT auto-load proposed or unreviewed learnings into the next run
• Do NOT carry forward stale context — each new run reads fresh state
• Do NOT compress or delete files the user might need — only archive verbose intermediate logs

Final challenge: name every checklist item you completed and what you produced for each one. If any answer is "I think I covered that" instead of "here's the output," you have more work to do. Which items are you unsure about?