terry-mao/aicodingflow/create-product-spec
Claude Code and agent skill by terry-mao/aicodingflow
- community
Checking that the SKILL.md file is still in the repository.
Create a product spec from a GitHub issue in this repository by applying the local shared `write-product-spec` workflow with issue context and output paths. Use when an issue should be turned into a product spec artifact stored under `specs/issue-<issue-number>/product.md` and the agent should prepare file changes only, without creating commits or pull requests itself.
Install
npx vskill@latest install terry-mao/aicodingflow/create-product-specSKILL.md
create-product-spec
Create a product spec from a GitHub issue for this repository.
Overview
This skill is a wrapper around the local shared product-spec workflow:
.agents/skills/write-product-spec/SKILL.md
Use that shared local skill as the base behavior and structure unless this wrapper overrides it. Keep the same emphasis on precise user-facing behavior, invariants, edge cases, validation, and open questions.
The differences are:
- the primary input is a GitHub issue, not a Linear issue
- the output path is
specs/issue-<issue-number>/product.md - the workflow or prompt provides the issue context path; in CI this is often
issue_context.json, while local wrappers should provide a path in a system temporary directory
- the workflow or prompt may provide an issue comments path; in CI this is
often issue_comments.txt
- a workflow may also request a structured PR metadata output path; in CI this
is often pr-metadata.json
- do not create or edit Linear issues as part of this workflow
Inputs
Expect issue details in the issue context file named by the prompt, including the issue number, title, description, labels, assignees, triggering comment when present, and exact product_spec path. If the prompt does not provide an explicit path, use issue_context.json in the current workflow worktree.
Use the issue comments file named by the prompt as prior discussion context when present. If no explicit path is provided, use issue_comments.txt in the current workflow worktree when it exists. Treat comments as additional context, not as a silent override of the issue body. Resolved decisions from comments can refine the spec; unresolved disagreements should remain explicit open questions.
Workflow
- Start from the local shared
write-product-specguidance and follow its structure and writing standards unless this wrapper says otherwise. - Read the prompt-provided issue context path carefully. If a prompt-provided
issue comments path exists, review it for clarifications, prior decisions, and issue-comment nuance that should influence the spec.
- Inspect the repository enough to understand the current user workflow and likely scope before writing the spec.
- Create or update the exact
product_specpath fromissue_context.json. - Keep the product spec focused on intended behavior and user-facing requirements. Use the shared skill's sections as the baseline, adapted to this repository and issue format. At minimum, cover:
- summary
- problem
- goals
- non-goals or scope boundaries
- concrete user experience and behavior requirements
- success criteria
- validation
- open product questions
- If design context such as a Figma link is present in the issue description or comments, include it. If no design context exists, make that absence explicit rather than silently omitting it.
- Do not include implementation details, file-level changes, or technical design. Those belong in the tech spec.
- Do not implement the feature or modify production code as part of this task.
Limit changes to the product spec artifact. Treat temporary context and comments files as scratch input only and do not commit them.
- Do not include issue number references (e.g.
(#N),Refs #N) in commit messages. The issue is already linked in the PR. - If the prompt asks for PR metadata, write it to the exact metadata output
path named by the prompt. If no explicit path is provided, use pr-metadata.json in the current workflow worktree. The file must contain a JSON object with the fields branch_name, pr_title, and pr_summary. The pr_summary should summarize the product and technical planning clearly enough that reviewers can use it directly as the PR body. For spec-only PRs, include a non-closing reference to the source issue such as Refs #<issue-number> rather than closing keywords like Closes or Fixes. Include ## Summary, ## Testing, ## Risk, and ## How to revert in the PR body.
- Default behavior: do not stage files, create commits, push branches, open pull requests, or use the GitHub CLI.
- In your final response, provide a brief summary of the product spec and call out any assumptions or open questions so the workflow can reuse that summary when creating the PR.
Output expectations
- Leave the repository with the new or updated product spec file ready to be committed by the workflow.
- When requested by the prompt, leave a ready-to-use PR metadata file at the
prompt-provided path with branch_name, pr_title, and pr_summary.
- If the issue is underspecified, still produce the best possible product spec and clearly capture assumptions or open questions in the spec file and final response.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryChecking.github/skills/create-product-spec/SKILL.md
Popularity
- Repository stars
- 134
- Repository forks
- 15
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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