next-wave-handoff-bundle
Build a docs-only execution handoff bundle after a completed implementation wave — follow-up issue drafts, scoped authorization note, deploy checklist, operator note, copy/paste command bundle, and incremental commit hygiene.
Best use case
next-wave-handoff-bundle is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build a docs-only execution handoff bundle after a completed implementation wave — follow-up issue drafts, scoped authorization note, deploy checklist, operator note, copy/paste command bundle, and incremental commit hygiene.
Teams using next-wave-handoff-bundle should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/next-wave-handoff-bundle/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How next-wave-handoff-bundle Compares
| Feature / Agent | next-wave-handoff-bundle | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build a docs-only execution handoff bundle after a completed implementation wave — follow-up issue drafts, scoped authorization note, deploy checklist, operator note, copy/paste command bundle, and incremental commit hygiene.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Next-Wave Handoff Bundle Use when a feature/workstream has completed one stage and the user wants execution artifacts for the next wave, not more generic advice. Typical trigger phrases: - "produce execution artifacts for the next wave" - "continue this stream/worktree" - "draft follow-up issues / authorization note / deploy checklist" - "operator handoff" - "prepare notes; document and prepare to exit" - "handover this info to parallel Hermes terminal" - "no push, no bypass, avoid code churn" ## Goal Convert review findings and current branch state into a self-contained docs-first handoff bundle that another operator can execute safely. ## When this skill fits Use this when: 1. A branch/worktree already contains completed implementation work. 2. The user wants concrete operational artifacts rather than more coding. 3. There are explicit constraints like no push, no hook bypass, and no reopening already-completed tasks. 4. You need to preserve execution context in-repo under `docs/plans/` or similar coordination paths. ## Core pattern ### 1. Read the governing artifacts first Always read: - current plan - review/adversarial review - handback or implementation summary - design/spec if referenced Also inspect: - `git status --short --branch` - recent relevant commits (`git log --oneline -N`) - remote/upstream state if user wants explicit confirmation that no push happened ### 2. Anchor the handoff to verified facts Before writing anything, extract and keep visible: - what stage is complete - what must NOT be redone - what was actually validated vs only smoke-tested - any known blockers already fixed - any pending production-topology validation Important: distinguish "feature-worktree smoke test" from real deploy-topology validation. ### 3. Prefer docs/plans artifacts over code changes For this pattern, create docs-only coordination artifacts first. Typical bundle: 1. `...follow-up-issues.md` - 3+ GitHub-ready issue drafts from review findings 2. `...stage2-authorization.md` - scoped authorization for only the next task range 3. `...deploy-readiness-checklist.md` - concrete operator gate for the real target topology 4. `...enforcement-fix-note.md` or similar operator note - recommendation on whether a discovered fix should be promoted repo-wide 5. `...operator-runbook.md` - concise ordered next steps with stop conditions 6. `...gh-issue-packets.md` - copy/paste-ready titles, labels, bodies, optional comments 7. `...gh-create-commands.sh` - exact `gh issue create` commands using temp body files 8. `...enforcement-promotion-procedure.md` - exact cherry-pick/promotion procedure for a high-value fix 9. `...operator-command-bundle.sh` - one copy/paste bundle combining promotion, issue creation, and Stage-2 validation Not every engagement needs all 9, but this is the full bundle pattern. ### 4. Keep scope boundaries explicit in every artifact Each artifact should restate: - which tasks/stage are already complete - which task numbers are authorized next - that already-completed tasks are not being reopened - that production actions belong on the real target checkout/host, not the feature worktree - no hook bypass / no push unless explicitly approved ### 5. Sequence recommendations by risk reduction When a real governance/enforcement bug was found during implementation: 1. preserve the docs handoff bundle 2. recommend promotion/cherry-pick of the narrow enforcement fix before more plan-gated implementation work 3. then create follow-up issues from remaining review findings 4. then move to deploy-topology Stage 2 execution This ordering matters: fix the workflow reliability issue before asking operators to rely on it again. ### 6. Convert issue drafts into executable packets After drafting issue bodies, make them operator-usable by also creating: - a packet doc with exact labels, title, body, optional follow-up comment - a shell script that writes temp body files and prints exact `gh issue create` commands Default to explicit `--repo`, explicit labels, and `--body-file`. ### 7. Build a single operator command bundle last Once the docs are stable, create a single shell script that prints: - promotion/cherry-pick commands - issue creation commands - Stage 2 doctor / dry-run commands This becomes the safest final handoff artifact because it compresses all earlier docs into an execution sequence. ### 8. Commit docs incrementally as low-risk handoff units If the user asks to continue with recommendations, a good conservative progression is: 1. commit the main handoff bundle 2. commit issue packets doc 3. commit gh-create command script 4. commit promotion-procedure doc 5. commit final operator-command bundle Use docs-only commit messages such as: - `docs(plans): ecosystem-sync next-wave handoff bundle` - `docs(plans): add ecosystem-sync issue creation packets` - `docs(plans): add ecosystem-sync gh issue create commands` - `docs(plans): add enforcement fix promotion procedure` After each commit, verify: - plan gate passed - auto-push did not occur unexpectedly - branch status is clean or only contains the next expected artifact - the intended handoff file is actually tracked in the expected commit (`git log --oneline -- <file>` and `git show --stat -- <file>`), especially if hooks/tooling return confusing output such as `nothing to commit` after a commit attempt If a commit command returns non-zero or says `nothing to commit` after you just added a handoff file, do not assume failure. Immediately check: ```bash git status --short --branch git ls-files <handoff-file> --stage git log --oneline -- <handoff-file> -3 git show --stat --oneline -- <handoff-file> | head -80 ``` Some workspace automation/hooks may have already staged/committed the file or cleaned unrelated state; verify by file-specific git history before retrying or rewriting. ### 9. Explicitly verify push/no-push state and post-push CI Do not merely assert whether a push happened. Check using git/remote evidence, for example: - `git branch -vv` - `git ls-remote --heads origin <branch>` - `git rev-parse HEAD` and `git rev-parse origin/main` after `git fetch origin` - post-commit output indicating no upstream configured / no auto-push If the user chooses the exit path of "commit/push, document, and prepare to exit": 1. commit the handoff artifact as a narrow docs-only commit 2. push it 3. verify local `HEAD` equals the pushed remote ref 4. inspect the CI run triggered by the handoff commit 5. separate scoped-success evidence from unrelated CI failures If `git push` reports a remote ref-lock/race error such as `cannot lock ref ... is at <new> but expected <old>`, do not assume the handoff failed. Immediately run `git fetch origin <branch>` and compare `git rev-parse HEAD` with `git rev-parse origin/<branch>`. In concurrent/auto-sync environments the remote may already contain the just-created commit despite the non-zero push result; if hashes match, treat the push as effectively complete and avoid duplicate commits or force-pushes. A docs-only handoff commit can still trigger repo CI/docs workflows. If CI is red for failures outside the completed stream's scope, do not reopen the completed issue by default. Instead: - record the relevant scoped pass/fail evidence in the handoff and/or issue comment - open or draft a new follow-up issue for the remaining failure family - explicitly state that the completed stream remains complete only if its acceptance gate stayed green Example: after a lint-restoration stream, a handoff commit triggered CI where `Lint`, `Type Check`, and `Security Scan` passed but Python test-matrix jobs failed. Correct closeout was to preserve the lint handoff, keep the lint issue closed, and create a new plan-gated follow-up issue for the Python test-matrix failures. Report the evidence plainly. ## Output checklist A solid handoff should usually include: - summary of current branch state in <=8 lines if requested - written follow-up issue drafts - written next-stage authorization note - written deploy-readiness checklist - written operator note on promoting a fix - git status checked - explicit statement that no push happened - optionally, exact gh commands and a single operator bundle ## Pitfalls - Do not reopen already-completed tasks just because review found future hardening work. - Do not mistake a worktree smoke test for production validation. - Do not bury the real high-value recommendation (e.g. promote a narrow enforcement fix first). - Do not leave issue drafts as prose only; convert them into `gh`-ready packets when possible. - Do not stop after creating docs if a simple docs-only commit would materially improve handoff cleanliness. ## Minimal verification loop Before finishing: 1. `git status --short --branch` 2. `git log --oneline -N` 3. verify all promised docs exist 4. verify whether anything remains uncommitted 5. explicitly state whether a push occurred ## Why this is reusable This pattern works whenever a completed implementation wave needs a safe operational handoff for the next wave, especially in plan-gated repos where docs, issue packets, and deployment sequencing must be preserved without reopening feature code.
Related Skills
handoff
Compact the current conversation into a handoff document for another agent to pick up.
digitalmodel-orcawave-orcaflex-proof-workflows
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
context-compaction-handoff
Guardrails for resuming work after context compaction or transcript handoff blocks; prioritize the latest real user request over stale summarized tasks and verify before answering.
plan-gated-issue-execution-wave
Execute a multi-issue architecture/planning wave in a plan-gated repo, then safely transition approved issues into implementation with file-based Codex prompts, local approval markers, subprocess monitoring, and cleanup handling for sandbox/hook edge cases.
orcawave-orcaflex-readiness-audit
Audit the real readiness of digitalmodel OrcaWave/OrcaFlex spec-driven workflows by reconciling workspace-hub issues, source/tests, semantic-equivalence boundaries, and wiki synthesis gaps.
wave-based-parallel-plan-execution
Orchestrate phase execution by discovering dependencies, grouping into waves, spawning subagents, and collecting results with optional wave filtering
digitalmodel-orcawave-orcaflex-workflow
Current-state workflow for navigating and extending digitalmodel OrcaWave/OrcaFlex capabilities across code, tests, issues, queue tooling, and licensed-machine boundaries.
ten-agent-pre-plan-review-wave
Launch and verify a 10-agent planning-only wave that moves open GitHub issues into status:plan-review using one isolated worktree per issue, wave-specific continuation cron, and post-run artifact-reconciliation checks.
preserved-plan-refile-with-attested-review-wave
Reopen a previously closed GitHub issue with a preserved local plan, rewrite it into a conservative draft, and drive iterative attested adversarial review waves until it is truly approval-ready.
plan-review-handoff-verification
Verify a parked GitHub issue plan-review handoff across live labels, local markers, README rows, canonical review artifacts, and stale plan-body evidence before reporting next action.
overnight-wave-pack-worktree-isolation
Safely launch overnight multi-terminal workspace-hub planning packs from isolated worktrees when the main checkout is dirty or prompts share planning/index files.
overnight-pre-plan-review-wave-artifact-drift
Run overnight planning-only waves for issues before status:plan-review, and reconcile cases where GitHub state advances but plan/review artifacts land in a sandbox or remote branch instead of the active local worktree.