No skill writes an entity into a GitHub issue body or an Azure DevOps work item
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Active
- Tech stack
- markdown, python
- Domain
- documentation, tooling
Research direction
Start with the three living-doc-create-* skills under agentic/.claude/skills/*/SKILL.md and the draft format they emit into validate_entity.py and catalog.json, then compare with living-doc-scenario-creator and living-doc-pageobject-scan, which already write canonical headers for .feature files. The first step is a design decision: whether the layer renders ## Parent Feature and ## Acceptance Criteria issue bodies itself or relies on a per-project Storage Profile template. Done means that decision is recorded and a rendering skill or step exists with an eval.
Written by the indexing model from the issue text.
Description
Description of Technical Debt
The three living-doc-create-* skills emit a JSON draft, the input to validate_entity.py and catalog.json. Canon
text is written only for .feature files: living-doc-scenario-creator writes the User Story and Functionality
headers, and living-doc-pageobject-scan the UI Feature header. For a project documented in GitHub Issues or Azure
DevOps, turning the draft into the canonical issue-body layout (## Parent Feature, ## Acceptance Criteria,
## Feature Dependencies …) is left to the agent's generic "store per the Storage Profile" rule. That matters most for
API Features: only an issue-backed project can document one, so no skill can author a feature_dependencies target.
Impact of Technical Debt
- An issues- or Azure DevOps-documented project gets no help writing its entities in the canonical layout.
Category
Architecture / Design
Priority
Low - Nice to have
Proposed Solution
Decide first: does the layer render issue bodies itself, or rely on a per-project Storage Profile template? Then a skill (or a create-skill step) renders the canonical layout from the draft, with an eval. The Azure DevOps layout waits for that epic's spike.
Effort Estimate
2-3 days
Dependencies / Related
The Azure DevOps epic.
Additional Context
Measured 2026-11-12 at living-doc 2df73dc. Re-check:
grep -rliE "issue body|## Parent Feature|work item" agentic/.claude/skills/*/SKILL.md finds only incidental mentions.
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 6h 14m
- Merged PRs (30d)
- 27
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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