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SKILL verified MIT Self-run

Create Issue

skill-dsifry-metaswarm-create-issue · by dsifry

Create comprehensive GitHub issues with TDD plans, acceptance criteria, and agent instructions for autonomous PR lifecycle management

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Install

$ agentstack add skill-dsifry-metaswarm-create-issue

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-dsifry-metaswarm-create-issue)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Create GitHub Issue Skill

Create comprehensive, well-structured GitHub issues with embedded agent instructions for autonomous PR lifecycle management.

Overview

This skill generates GitHub issues that are self-contained work packets. Each issue includes:

  1. Problem/Feature specification with clear scope
  2. Technical specification with types, schemas, and API design
  3. TDD Implementation Plan with test-first cycles
  4. Acceptance Criteria checklist
  5. Agent Instructions for complete PR lifecycle (implementation → review → merge)

Usage

/create-issue

Interactive Flow

Step 1: Issue Type

Ask the user:

What type of issue is this?
1. Feature - New functionality
2. Bug - Something broken
3. Refactor - Improving existing code

Step 2: Brief Description

Brief description of the problem or feature? (1-2 sentences)

Step 3: Complexity Assessment

What's the estimated complexity?
1. Simple ( 1 week)

Step 4: Context Gathering

Any related files, services, or issues I should reference?
(Or say "explore codebase" and I'll investigate)

Step 5: Generate Issue

Based on inputs, generate the full issue using the appropriate template below.


Issue Templates

Feature Template

````markdown

Summary

[1-2 sentence description]

Complexity: [simple|medium|complex] Estimated Effort: [X days]


Problem

[What problem does this solve? Why is it needed?]

Evidence

[Logs, metrics, user reports, or reasoning]

Scope

  • IN SCOPE: [what's included]
  • OUT OF SCOPE: [what's explicitly NOT included]

Architecture Decision

Decision: [What approach will be taken] Rationale: [Why this approach, why NOT alternatives]


Technical Specification

Types/Interfaces

// Key type definitions

````

Zod Schemas (if applicable)

// Validation schemas

API Endpoints (if applicable)

| Method | Path | Description | | ------ | ---- | ----------- |

Database Changes (if applicable)

[Schema changes, migrations needed]


TDD Implementation Plan

Cycle 1: [Happy Path]

it("should [expected behavior]", async () => {
  // Test code
});

Cycle 2: [Error Handling]

it("should handle [error case]", async () => {
  // Test code
});

Cycle 3: [Edge Cases]

Cycle 4: [Integration]


Error Handling

| Scenario | Behavior | Logging | | -------- | -------- | ------- |


Implementation Phases

Phase 1: [Core] (High Priority)

  • [ ] Task 1
  • [ ] Task 2

Phase 2: [Enhancement] (Medium Priority)

  • [ ] Task 3

Files to Create/Modify

  • NEW: path/to/new/file.ts
  • path/to/existing/file.ts - [what changes]

Acceptance Criteria

  • [ ] All TDD cycles implemented with passing tests
  • [ ] Zero TypeScript errors (pnpm typecheck)
  • [ ] Zero lint warnings (pnpm lint)
  • [ ] All tests pass (pnpm test --run)
  • [ ] JSDoc documentation added to all new/modified services
  • [ ] docs/SERVICE_INVENTORY.md updated (if new/modified service)
  • [ ] Mock factories added/updated (if new service)
  • [ ] PR created and all CI checks pass
  • [ ] ALL code review comments addressed (see Agent Instructions)
  • [ ] All review threads resolved
  • [ ] PR approved and merged

Agent Instructions

CRITICAL: Follow this protocol when implementing this issue. A PR is NOT complete until ALL steps are done.

Phase 0: Research (BEFORE writing any code)

Read these files first to avoid reinventing the wheel:

  1. Service Inventory - Check for existing services that might already do what you need:

``bash # Read the service inventory cat docs/SERVICE_INVENTORY.md # Or search for specific functionality grep -i "embedding\|search\|cache" docs/SERVICE_INVENTORY.md ``

  1. Mock Factories - Review existing mocks to reuse patterns:

``bash ls src/test-utils/factories/ ``

  1. Similar Services - Find services with similar patterns:

``bash # Find orchestrator patterns ls src/lib/services/*-orchestrator*.ts # Find persistence patterns ls src/lib/services/*-persistence*.ts ``

Why this matters: Reusing existing services and patterns saves time, maintains consistency, and prevents duplicate code.

Phase A: Implementation

  1. Create feature branch from main: git checkout -b feat/[short-name]
  2. Follow TDD cycles exactly as specified above
  3. Add JSDoc documentation to all new/modified services
  4. Run local validation: pnpm lint && pnpm typecheck && pnpm test --run
  5. Update service inventory (if new service)
  6. Create PR with comprehensive description using /create-pr

Phase B: Code Review Iteration

Wait for code reviews before proceeding. Do NOT mark complete after pushing code.

For EACH code review iteration:

  1. Fetch ALL comments (including trivial, nitpicks, and out-of-scope):

``bash PR_NUMBER=XXX OWNER=$(gh repo view --json owner -q .owner.login) REPO=$(gh repo view --json name -q .name) gh api "repos/$OWNER/$REPO/pulls/$PR_NUMBER/comments" --paginate ``

  1. Address ALL comments by category:

| Type | Action | | ---------------------- | ---------------------------------------------------- | | Critical/Major | Fix immediately | | Medium/Minor | Fix before merge | | Trivial/Nitpick | Fix these too! Do NOT skip | | Out-of-scope | Investigate thoroughly - often the BEST insights |

  1. For each comment:
  • 1 day OR architectural → Create a new GitHub issue, link in response
  • Disagree → Reply explaining why with technical reasoning
  1. After making changes:

``bash pnpm lint && pnpm typecheck && pnpm test --run git add . && git commit -m "fix: address review feedback" && git push ``

  1. Respond to EVERY comment thread individually:

```bash COMMENTID=XXX CURRENTUSER=$(gh api user -q '.login') gh api "/repos/$OWNER/$REPO/pulls/$PRNUMBER/comments/$COMMENTID/replies" \ -X POST \ -f body="Fixed in commit $(git rev-parse --short HEAD). [explanation]

(Response by Claude on behalf of @$CURRENT_USER)" ```

  1. Wait for next review cycle - Do NOT resolve threads yourself
  1. Repeat steps 1-6 until reviewer confirms satisfaction

Phase C: Thread Resolution

Only AFTER reviewer approval:

  1. Re-fetch all threads to get current IDs
  2. Resolve each thread:

``bash THREAD_ID="PRRT_xxx" gh api graphql -f threadId="$THREAD_ID" -f query=' mutation($threadId: ID!) { resolveReviewThread(input: {threadId: $threadId}) { thread { id isResolved } } }' ``

  1. Verify all threads resolved before proceeding

Phase D: Merge Readiness

PR is ready for merge ONLY when ALL are true:

  • [ ] All CI checks pass (green)
  • [ ] EVERY code review comment addressed (including trivial/out-of-scope)
  • [ ] EVERY thread has individual response
  • [ ] All threads are resolved (after reviewer approval)
  • [ ] GitHub issues created for any deferred work (> 1 day)
  • [ ] No pending reviewer comments awaiting response

Phase E: Squash Merge and Cleanup

IMPORTANT: Always use squash merge, never regular merge.

  1. Squash and merge the PR (combines all commits into one clean commit):

```bash # Via GitHub CLI gh pr merge $PR_NUMBER --squash --delete-branch

# Or via GitHub web UI: # Click "Squash and merge" (NOT "Merge" or "Rebase and merge") ```

  1. Delete the feature branch (automatically done with --delete-branch flag):

``bash # If branch wasn't auto-deleted: git push origin --delete feat/[branch-name] git branch -d feat/[branch-name] ``

  1. Update local main:

``bash git checkout main git pull origin main ``

Reference

See the /metaswarm:handle-pr-comments command for detailed protocol.


Related Issues

  • [Link to related issues]

References

  • [Link to relevant docs, specs, or PRs]

````


Bug Template

Use the Feature template with these modifications:

Title format: fix: [brief description]

Replace "Problem" section with:

## Bug Report

**Priority**: [P0-Critical|P1-High|P2-Medium|P3-Low]
**Affected Users**: [scope of impact]
**First Reported**: [date/source]

### Expected Behavior

[What should happen]

### Actual Behavior

[What actually happens]

### Steps to Reproduce

1. Step 1
2. Step 2
3. Step 3

### Root Cause Analysis

[If known, explain why this is happening]

### Evidence

[Logs, stack traces, screenshots]
````

**Replace "TDD Implementation Plan" with**:

````markdown
## Test Cases

### Test 1: Verify fix for reported issue

```typescript
it("should [correct behavior] when [condition]", async () => {
  // Reproduce the bug scenario
  // Verify it's now fixed
});

````

Test 2: Regression test

it("should not regress [related functionality]", async () => {
  // Ensure fix doesn't break other things
});

````


Refactor Template

Use the Feature template with these modifications:

Title format: refactor: [brief description]

Add after "Summary":

## Background

[Why is this refactor needed? What triggered it?]

### Review Feedback Being Addressed

> [Quote the review comment that prompted this work]

- Original PR: #XXX
- Comment by: @reviewer
````

**Add to "Acceptance Criteria"**:

```markdown
- [ ] No breaking changes to public APIs
- [ ] All existing tests still pass without modification
- [ ] Performance not degraded (if applicable)

After Generation

After generating the issue content:

  1. Show preview to user
  2. Ask for modifications if needed
  3. Create issue with appropriate labels:

```bash # Feature gh issue create --title "feat: [title]" --body "[content]" \ --label "enhancement" --label "complexity:[level]"

# Bug gh issue create --title "fix: [title]" --body "[content]" \ --label "bug" --label "priority:[level]"

# Refactor gh issue create --title "refactor: [title]" --body "[content]" \ --label "refactor" --label "complexity:[level]" ```

  1. Report issue number to user

Key Principles

  1. Self-contained: Issues should have everything an agent needs to work autonomously
  2. TDD-first: Always include test specifications before implementation
  3. Complete lifecycle: Agent Instructions cover implementation through merge
  4. No shortcuts: ALL review comments must be addressed, including trivial/nitpicks
  5. Out-of-scope = gold: Comments marked out-of-scope often contain the best insights
  6. Iterate until done: PR is not complete until ALL threads are resolved

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.