Synthesizes the current conversation and codebase context into a structured technical specification document. Publishes the resulting spec to the project issue tracker with the 'ready-for-agent' label.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when the user has finished discussing a feature or bug fix and wants to formalize the discussion into a spec without further questions. It is appropriate when the context is sufficient to define the problem, solution, and implementation details. It is ideal for transitioning from brainstorming to actionable development tasks in an issue tracker.
This skill takes the current conversation context and codebase understanding and produces a spec. Do NOT interview the user; just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you. If not, tell the user to run /setup-matt-pocock-skills.
Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
ready-for-agent triage label - no need for additional triage.The problem that the user is facing, from the user's perspective.
The solution to the problem, from the user's perspective.
A LONG, numbered list of user stories. Each user story should be in the format of:
This list of user stories should be extremely extensive and cover all aspects of the feature.
A list of implementation decisions that were made. This can include:
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts, not a working demo, just the important bits.
A list of testing decisions that were made. Include:
A description of the things that are out of scope for this spec.
Any further notes about the feature.
LICENSESKILL.mdagents/openai.yamlVendored from mattpocock/skills, commit 5beb35b040e3, path skills/engineering/to-spec, licence MIT. The upstream licence file ships inside the skill.