roadmap-issue-reopen-retarget-balance

name	roadmap-issue-reopen-retarget-balance
description	Reopen existing roadmap anchors, close replacement epics, retarget new child issues, and add sequencing/de-dup comments so GitHub roadmap work preserves continuity and execution quality.
version	1.0.0
author	Hermes Agent
license	MIT
metadata	{"hermes":{"tags":["github","roadmap","issue-management","sequencing","de-duplication"],"related_skills":["github-issues","github-issue-tracker"]}}

Roadmap Issue Reopen / Retarget Balance

Use when a new analysis or planning wave initially creates fresh GitHub issues, but the better structure is to preserve continuity by reopening an existing roadmap issue and retargeting new work under it.

When to use

• A closed roadmap/epic already exists for the same domain
• New analysis updates the roadmap rather than replacing it
• New child issues are valid, but the umbrella/anchor should be the original roadmap
• There is a risk of fragmented governance across parallel roadmap issues

Goal

Keep one canonical roadmap anchor while still allowing genuinely new scoped execution issues.

Recommended pattern

1. Audit existing roadmap and sprint issues first.
   • gh issue view <id> for known roadmap issues
   • gh issue list --state all --search "<domain keywords> roadmap OR sprint OR capability roadmap"
2. Reopen the existing roadmap anchor if it is the right long-lived parent.
   • gh issue reopen <roadmap_id>
3. Comment on the reopened roadmap with:
   • why it was reopened
   • updated analysis focus
   • active existing issue clusters
   • delivered foundations that should no longer be treated as gaps
   • links to the latest roadmap artifact/doc
4. Keep existing active issues in place if they already represent real workstreams. Typical buckets:
   • proof/validation
   • hardening/repeatability
   • breadth expansion
   • corpus/input expansion
   • downstream scaling
5. Create new issues only for genuinely missing scoped work. Good examples:
   • flagship family validation cases
   • new benchmark-specific promotion tasks
   • narrowly bounded missing proof artifacts
6. If a replacement epic was created prematurely:
   • comment that work is moving back under the reopened roadmap
   • close the replacement epic
   • keep its child issues open if they are still valid
7. Retarget new child issues by editing their bodies. Replace parent references like #<replacement_epic> with #<reopened_roadmap>.
8. Add roadmap-link comments to the major existing issues so future agents see the intended structure. Include:
   • role of the issue in the sequence
   • roadmap anchor issue number
   • roadmap document path
   • whether the issue is the canonical anchor for that lane or just a narrow sprint/child tracker
9. Add sequencing comments to the new child issues. Make explicit:
   • what phase they belong to
   • which proof issues should land before them
   • what later breadth/scaling issues they should precede
10. Add at least one compact roadmap-governance note back on the reopened anchor. Recommended contents:

• status legend (foundation delivered / proof / hardening / breadth / corpus / scaling)
• phase map showing the intended execution order
• compact topology summary naming the single roadmap anchor, the canonical hardening issue, the proof lane, and the bounded new child-wave

11. If two open issues overlap, first do an evidence-based scope comparison instead of immediately forcing closure. Compare line by line:

• deliverables
• unique scope items
• parent/anchor role
• current repo state Then comment with a de-dup/re-scope recommendation. Preferred wording:
• compare unique remaining scope
• if none remains, close as duplicate/superseded
• otherwise rewrite as a narrow child/sub-scope of the canonical issue

12. When a proof issue is the first execution gate for later child issues, post execution-ready acceptance criteria on that issue. Include:

• fixture/artifact contract
• live/licensed validation requirement
• semantic-diff or claim-boundary gate
• regression/skip behavior on non-licensed machines
• whether a related issue is a child/follow-on or a peer proof issue

13. Add a reusable proof-template checklist on the reopened roadmap anchor for downstream child issues. This should standardize:

• canonical fixture identification
• native generation path
• required evidence artifacts
• allowed vs blocking difference classes
• documentation update rule
• closure rule (do not close on mere generation/template existence)

14. After the proof-standard issue is tightened, add concrete implementation breakdown comments to:

• the main proof issue
• its child/follow-on issue The breakdown should name likely fixture files, helper/test file targets, artifact filenames, and an execution order so later work becomes mechanical.

15. If you close a duplicate/subsumed issue, add a compact governance-topology note back on the roadmap anchor summarizing the resulting stable structure. Recommended contents:

• single roadmap anchor
• proof lane
• hardening lane
• bounded new child-wave
• duplicates removed

16. After the proof-standard issue is tightened, bridge governance into implementation scaffolding before launching the family-wave. Recommended pattern for fixture/report/snapshot proof work:

• create a fixture-artifact directory with a README describing provenance, regeneration, review rules, and snapshot scope
• commit a stable metadata JSON baseline first
• add helper modules for loading metadata and normalizing snapshots
• add fixture-backed integration/snapshot test skeletons in the target test package
• prefer generating the first real snapshot baseline from deterministic code in the same execution pass instead of leaving a placeholder baseline committed long-term This keeps the proof-standard issue execution-ready and makes later family-specific issues mechanical rather than re-designed from scratch.

17. Immediately run the narrow targeted tests for the new scaffold and expect one or two structural fixes before it passes. Common real-world fixes discovered in this pattern:

• pytest collection may fail on relative imports inside new test modules; prefer explicit package imports such as from tests.solvers.orcaflex.reporting... when the test package is not guaranteed to be imported as a package
• fixture helper path calculations are easy to get wrong; verify the actual resolved path to tests/fixtures/reporting/... and adjust Path(__file__).resolve().parents[...] based on the real package depth
• once a deterministic render path exists, regenerate the snapshot baseline from live code before finalizing; do not keep an outdated hand-written placeholder snapshot if the real render can be produced now
• keep report-generation dates or similar fields deterministic in helpers if the snapshot depends on them

18. After the proof-standard lane passes, apply the same artifact/test pattern to the first flagship family issue before broadening further. Recommended family-proof pattern:

• identify one authoritative canonical spec, one native monolithic reference, and one generated modular reference set
• when multiple candidate fixtures exist, prefer a model-library case that already has the full trio (canonical spec + monolithic native + modular generated references) over a bare template-only case; this gives a stronger bounded proof path and cleaner issue evidence
• derive a bounded family-specific metadata JSON under tests/fixtures/reporting/
• add family-specific fixture integration and snapshot tests using the shared helper modules rather than creating a parallel testing architecture
• prefer the highest-leverage flagship case first (e.g. a generic-track FPSO/turret model) so the proof pattern is exercised on the most failure-prone family before rolling out to simpler follow-ons
• once the first family path works, generalize helper modules to support named fixtures (generate_fixture_report, load_fixture_metadata, fixture-specific path helpers) instead of cloning one-off helper code per family
• generate the family snapshot baseline from live deterministic code, then run one focused pytest command that includes both the original proof-standard tests and the new family-specific tests

19. Verify final state.

• roadmap issue open
• replacement epic closed if superseded
• new child issues open and retargeted
• existing major issues linked back to the roadmap
• duplicates either closed or explicitly narrowed
• proof-standard and reusable checklist comments posted where needed

Output structure to aim for

• Reopened roadmap = canonical sequencing anchor
• Existing issues = preserved where they already describe real active tracks
• New issues = only truly missing scoped analyses/features
• Sequencing comments = make proof -> hardening -> breadth -> scaling explicit

Pitfalls

• Do not leave two competing roadmap umbrellas open for the same domain
• Do not recreate issues that already exist just to match a new plan artifact
• Do not bury new family-specific validation work inside a broad proof issue if it deserves a bounded child issue
• Do not close overlapping issues without leaving a rationale comment and redirect target
• Do not rely on issue bodies alone; add comments that explain the new sequencing and parentage

Minimal checklist

• Existing roadmap audited
• Best anchor reopened if needed
• Replacement epic closed if superseded
• New child issues retargeted to reopened anchor
• Existing core issues linked back to roadmap
• Sequencing/de-dup comments added
• Final state verified