backlog-ready-spec
Use when turning vague product requests, founder notes, GitHub issues, roadmap bullets, bug reports, or feature ideas into backlog-ready specs or executable…
Skill by cogine-ai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/cogine-ai-backlog-ready-spec
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/backlog-ready-spec
What's inside
- Skill name
backlog-ready-spec- Description
- Use when turning vague product requests, founder notes, GitHub issues, roadmap bullets, bug reports, or feature ideas into backlog-ready specs or executable GitHub issues.
- License
- Apache-2.0
- Instructions
- 117 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Backlog Ready Spec Use this skill to turn ambiguous work into a ready issue or implementation spec. The output must be specific enough for another coding agent to execute without guessing product intent. ## Core Rule Do not merely rewrite the user's wording. Verify what already exists, remove duplicates, define boundaries, and state a readiness verdict. ## Inputs Accept any of these: - Product brief or founder handoff. - GitHub issue number or issue text. - Roadmap bullet. - Bug report. - User story. - Conversation summary. If the source is ambiguous, ask only for the missing decision that changes the spec materially. Otherwise proceed with stated assumptions. ## Workflow 1. Identify the target repository and scope. - Confirm whether the output should be a new issue, an update to an existing issue, or a local spec. - If using GitHub, fetch current issues before drafting. 2. De-duplicate first. - Search open and recently closed issues by keywords, affected modules, and user-visible behavior. - Search the codebase for existing implementation, partial implementation, TODOs, and related tests. - If the work is duplicate, obsolete, or already implemented, output `VERDICT: NOT NEEDED` with evidence. 3. Read enough code to make the spec executable. - Identify likely files, modules, APIs, routes, database tables, prompts, jobs, or tests. - Do not invent file paths. - If the affected area cannot be identified, mark that as an open question. 4. Define the contract. - User outcome. - In-scope behavior. - Out-of-scope behavior. - Acceptance criteria. - Validation commands or manual checks. - Risks and dependencies. 5. Redact and tighten. - Remove secrets, customer data, internal-only links, and unrelated conversation context. - Replace vague words like "better", "fast", "smart", or "support" with observable behavior. 6. Emit the readiness verdict. - `READY`: implementable now. - `READY WITH RISKS`: implementable, but risks or assumptions must be visible. - `NOT READY`: missing a decision that would materially change implementation. - `NOT NEEDED`: duplicate, obsolete, already implemented, or out of scope. ## Output Contract Use this structure: ```markdown ## Backlog Ready Spec ### Verdict READY / READY WITH RISKS / NOT READY / NOT NEEDED ### Source Brief / issue / roadmap item: Related issues: Related code: ### User Outcome What changes for the user. ### Problem Current behavior or missing capability. ### Scope In: - <in-scope item> Out: - <out-of-scope item> ### Proposed Implementation Direction Likely files/modules: Implementation notes: Reuse existing code: ### Acceptance Criteria - [ ] <criterion> - [ ] <criterion> - [ ] <criterion> ### Validation Automated: - <command or check> Manual: - <manual check> ### Risks And Dependencies - <risk or dependency> ### Open Questions - <question> ### GitHub Issue Body Copy-pasteable issue text if the user wants an issue created. ``` ## Quality Bar - A ready spec names target behavior, affected surfaces, acceptance criteria, and validation. - A ready spec is smaller than a product brief and more precise than a task title. - If the implementation would require product judgment during coding, the spec is not ready. - If a duplicate exists, do not produce a second live issue; recommend updating or closing the existing one.
From cogine-ai/cogine-dev-skillset, Apache-2.0.
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Signals
- Stars
- 3
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jun 25, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/cogine-ai/cogine-dev-skillset
- Website
- cogine.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
backlog-ready-spec skill. Agent Mart. https://agentmart.dev/skills/cogine-ai-backlog-ready-spec (last updated 2026-10-24)