gh-issue-priority-handoff
Use when the user asks to triage GitHub issues, prioritize backlog work, verify issue readiness or staleness, or generate delegation-ready issue briefs for…
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-gh-issue-priority-handoff
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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/gh-issue-priority-handoff
What's inside
- Skill name
gh-issue-priority-handoff- Description
- Use when the user asks to triage GitHub issues, prioritize backlog work, verify issue readiness or staleness, or generate delegation-ready issue briefs for coding agents.
- License
- Apache-2.0
- Instructions
- 154 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- openai.yaml · agents/
- handoff-template.md · references/
SKILL.md (first lines)
# GH Issue Priority Handoff ## Trigger Use this skill when the user asks to: - analyze open GitHub issues - rank issues by priority, impact, or value - generate delegation-ready instructions for other coding agents - create a backlog execution sequence ## Inputs to Clarify Collect these before scoring: 1. Repository: local checkout, `owner/repo`, or current directory. 2. Scope: all open issues, selected issue numbers, labels, milestone, or search query. 3. Exclusions: issues already delegated, in progress, intentionally deferred, or out of scope. 4. Goal: bugfix focus, growth focus, reliability focus, cost/security focus, or balanced. 5. Time horizon: urgent sprint, near-term, or strategic roadmap. If the user does not provide these, proceed with sensible defaults and state assumptions. ## Freshness and Repo Guardrails Before ranking or writing handoff instructions: 1. Read local `AGENTS.md` and repo docs if present. 2. Identify the repo default/base branch. Prefer `gh repo view --json defaultBranchRef`, then `git symbolic-ref --short refs/remotes/origin/HEAD`, then the current branch. 3. Fetch the base branch when a remote exists. If the repo has no remote or fetch fails, say that freshness is limited to local state. 4. Check whether the current checkout is dirty. Do not ask delegated agents to build on unrelated local changes unless the user explicitly requests it. 5. Never recommend direct work on protected branches (`main`, `master`, `develop`, release branches, or repo-defined equivalents). 6. Default each delegated issue to a dedicated branch and worktree. 7. Include explicit setup commands in each handoff block using the detected base branch, for example: ```bash BASE_BRANCH=<detected-base-branch> git fetch origin "$BASE_BRANCH" git worktree add -b codex/issue-<id>-<slug> /path/to/worktrees/issue-<id> "origin/$BASE_BRANCH" cd /path/to/worktrees/issue-<id> ``` If there is no usable remote, replace `origin/$BASE_BRANCH` with the best local base ref and state the limitation. ## Workflow 1. Gather issue metadata, body, comments, and linked closure context. Use `gh` first: ```bash gh issue list --state open --limit 200 --json number,title,labels,assignees,createdAt,updatedAt,url,state gh issue view <number> --comments --json number,title,body,labels,comments,assignees,closedByPullRequestsReferences,createdAt,updatedAt,url,state ``` 2. Inspect codebase state for each issue. - Treat each issue as a claim to verify against current code, not as an instruction to apply blindly. - Verify whether the issue is still reproducible, already partially implemented, fully fixed, duplicated, or superseded. - Identify likely touched files, architecture dependencies, and existing tests or validation commands. - Check whether the issue is implementation-ready. ### Issue Readiness Gate Before scoring priority or handoff status, assign each issue one readiness verdict: - `READY`: clear user outcome, scope, acceptance criteria, likely target files/modules, and validation path. - `READY WITH RISKS`: implementable, but assumptions, dependencies, or code uncertainty must be visible in the handoff. - `NOT READY`: missing a product or technical decision that would materially change implementation. - `NOT NEEDED`: duplicate, obsolete, already implemented, or no longer relevant to current code. For `NOT READY` issues, do not create a normal delegation block. Instead, create a readiness block with: - Missing decision or evidence. - One concrete question to unblock it. - Suggested owner: founder/product/engineering. - Recommended next step: use `backlog-ready-spec`, update the issue, close as duplicate, or investigate code. Readiness is separate from priority. A high-value issue can still be `NOT READY`. 3. Classify handoff readiness before scoring. - `Hand off now`: valid, bounded, agent-executable, and valuable. - `Needs human/product`: valid problem but acceptance criteria or direction is missing. - `Defer`: valid but low value, high opportunity cost, or blocked by another issue. - `Close/skip`: stale, duplicate, already fixed, invalid, or not worth agent time. 4. Score valid issues using this rubric. - `Importance`: Critical / High / Medium / Low - `Value`: 1-10 (user impact + business impact + data correctness + risk reduction) - `Effort`: S / M / L / XL - `Dependency`: blocked-by or blocks-other-work - `Readiness`: READY / READY WITH RISKS / NOT READY / NOT NEEDED Suggested weighting: - User-visible breakage or data integrity: highest - Security, abuse, or cost-control risks: highest - Structural unblockers for many downstream tasks: high - Nice-to-have channels/features without clear demand: lower 5. Produce ranked list. - Exclude issues user marked as delegated or in progress. - Sort handoff-ready issues by importance first, then value, then dependency impact. - Keep skipped/deferred issues visible with a brief reason instead of silently dropping them. 6. Produce per-issue paragraph + delegation block for handoff-ready issues only. - Paragraph: what problem it solves, why now, expected value, risk if delayed, and what evidence was checked. - Delegation block: objective, scope, non-goals, files, acceptance criteria, branch/worktree setup, validation commands. ## Output Contract Always return these sections in order: 1. `Freshness and Assumptions` - Repo/ref checked, issue scope, base branch, fetch status, and any freshness caveat. 2. `Priority Table` - Issue, Status, Readiness, Importance, Value, Effort, Recommendation, Reason 3. `Issue Analysis` - One paragraph per issue, including skipped/deferred issues. 4. `Readiness Fixes` - One block per `NOT READY` or `NOT NEEDED` issue. - State the missing decision, duplicate/obsolete evidence, or already-implemented evidence.
From cogine-ai/cogine-dev-skillset, Apache-2.0.
More from cogine-ai/cogine-dev-skillset
- 0.566score
loop-on-pr-review-and-fix
cogine-ai
Monitor ready-for-review GitHub PRs and handle new, still-valid feedback.
SkillBFreshness: B★ 3Claude Code +9 - 0.544score
local-ultra-review
cogine-ai
Use when the user explicitly asks for a deep local code review, PR review, bug hunt, pre-merge review, or Ultra Review style review with high confidence…
SkillBFreshness: B★ 3Claude Code +9 - 0.519score
solus-product-master
cogine-ai
Use when discussing early product ideas, AI or Agent product directions, market observations, MVP scope, wedge markets, non-consensus opportunities, or when…
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
founder-office-hours
cogine-ai
Use when evaluating early product ideas, founder decisions, AI application concepts, wedge markets, target users, product scope, or design handoff before…
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
get-cookies
cogine-ai
Use when a site under review requires authentication and you need to import cookies from a real browser session into your local browser automation helper.
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
ai-app-security-audit
cogine-ai
Use when auditing AI applications, LLM features, agent workflows, RAG systems, tool-calling code, prompt pipelines, model output handling, AI API keys, cost…
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
ai-slide-templates
cogine-ai
Use the Cogine AI ai-slide-templates repository to help users create polished slide decks from real content.
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
devex-review
cogine-ai
Use when auditing a live or implemented developer experience for APIs, CLIs, SDKs, MCP servers, plugins, integration guides, getting-started docs, or…
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
backlog-ready-spec
cogine-ai
Use when turning vague product requests, founder notes, GitHub issues, roadmap bullets, bug reports, or feature ideas into backlog-ready specs or executable…
SkillCFreshness: C★ 3Claude Code +9 - 0.454score
image2-with-codex
cogine-ai
Route image generation to the local image2-with-codex HTTP service at http://127.0.0.1:4312, which delegates to the user's Codex CLI.
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
clawpacker
cogine-ai
Use when exporting, importing, packaging, cloning, restoring, or moving an OpenClaw agent between machines or instances, especially when the user mentions…
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
investigate
cogine-ai
Systematic root-cause debugging.
SkillDFreshness: D★ 3Claude Code +9
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
More from cogine-ai
- 0.566score
loop-on-pr-review-and-fix
cogine-ai
Monitor ready-for-review GitHub PRs and handle new, still-valid feedback.
SkillBFreshness: B★ 3Claude Code +9 - 0.558score
feishu-channel-rules
cogine-ai
Lark/Feishu channel output formatting guidance.
SkillAFreshness: AClaude Code +9 - 0.544score
local-ultra-review
cogine-ai
Use when the user explicitly asks for a deep local code review, PR review, bug hunt, pre-merge review, or Ultra Review style review with high confidence…
SkillBFreshness: B★ 3Claude Code +9 - 0.519score
solus-product-master
cogine-ai
Use when discussing early product ideas, AI or Agent product directions, market observations, MVP scope, wedge markets, non-consensus opportunities, or when…
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
get-cookies
cogine-ai
Use when a site under review requires authentication and you need to import cookies from a real browser session into your local browser automation helper.
SkillCFreshness: C★ 3Claude Code +9 - 0.514score
ai-app-security-audit
cogine-ai
Use when auditing AI applications, LLM features, agent workflows, RAG systems, tool-calling code, prompt pipelines, model output handling, AI API keys, cost…
SkillCFreshness: C★ 3Claude Code +9
Cite this page
gh-issue-priority-handoff skill. Agent Mart. https://agentmart.dev/skills/cogine-ai-gh-issue-priority-handoff (last updated 2026-10-24)