Use this skill when a pull request has unresolved inline review comments and you need a repeatable, auditable closure workflow.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfusion-github-review-resolutionExecute the skills CLI command in your project's root directory to begin installation:
Fetches fusion-github-review-resolution from equinor/fusion-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate fusion-github-review-resolution. Access via /fusion-github-review-resolution in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Use this skill when a pull request has unresolved inline review comments and you need a repeatable, auditable closure workflow.
Typical triggers (skill should activate on all of these):
URL patterns — activate immediately:
https://github.com/<owner>/<repo>/pull/<number>#pullrequestreview-<id>https://github.com/<owner>/<repo>/pull/<number> (when context implies review work)Explicit user requests:
Implicit / agent-detected:
Do not use this skill when:
Collect before execution:
pullrequestreview-<id>),When a review URL is provided (
github.com/<owner>/<repo>/pull/<number>#pullrequestreview-<id>), auto-extract owner, repo, PR number, and review id from it. Only branch/worktree choice and validation commands still need confirming.
Optional context:
equinor/fusion-core-tasks#432),Follow this phase order unless the user explicitly asks for a different sequence: fetch → analyze → fix → validate → push → reply → resolve → verify. Do not interleave GitHub thread mutations with code-editing retries.
Ask whether to use a dedicated git worktree
Gather unresolved comments and create working tracker
#pullrequestreview-<id> was provided, parse owner, repo, PR number, and review id from it before fetching.assets/review-resolution-checklist.md—this becomes your working document. Fill in the context section and update the comment tracking table as you work through each thread.Understand, research, and judge each comment
Fix, check, commit (per comment)
Push once after all fixes
Reply and resolve each review comment
scripts/resolve-review-comments.sh,gh api retry loops.Verify closure state
Ask whether to request a new review from the original review author
Optional scripted execution
scripts/get-review-comments.sh to fetch matching review comments (including sub-comments associated with the review id).skills/.experimental/fusion-github-review-resolution/scripts/get-review-comments.sh --owner equinor --repo fusion-skills --pr 27 --review-id 3837647674--include-outdated when you need comments from outdated matching threads.scripts/resolve-review-comments.sh to reply+resolve matching threads with a dry-run-first duplicate-reply guard.--apply only after fixes are committed and pushed.--allow-additional-reply only after manual inspection.skills/.experimental/fusion-github-review-resolution/scripts/resolve-review-comments.sh --owner equinor --repo fusion-skills --pr 27 --review-id 3837647674 --include-resolvedskills/.experimental/fusion-github-review-resolution/scripts/resolve-review-comments.sh --owner equinor --repo fusion-skills --pr 27 --review-id 3837647674 --apply --message "Addressed in <commit>: <what changed>."Use GitHub MCP tools for high-level PR operations and any dedicated review-thread mutations the current client exposes. Use GraphQL for thread-level review operations when MCP coverage is missing.
| Workflow action | Preferred tool | Notes |
|---|---|---|
| Request reviewer / update PR metadata | mcp_github_update_pull_request |
Works for collaborator reviewers and standard PR updates. |
| Create or submit PR review | mcp_github_pull_request_review_write |
Handles pending review lifecycle actions. |
| Add general PR comment | mcp_github_add_issue_comment |
Adds issue-style comment to PR conversation, not inline thread reply. |
| List review threads and comments | assets/pull-request-review-threads.graphql |
Use with gh api graphql -f query=@assets/pull-request-review-threads.graphql for thread-level context. |
| Count unresolved threads for specific review id | assets/unresolved-thread-count-for-review.graphql |
Post-process response (for example with jq) to filter by review id and unresolved state. |
| Reply to a review thread | Dedicated MCP review-thread reply tool, otherwise assets/add-pull-request-review-thread-reply.graphql |
Prefer the MCP tool when available; otherwise use the bundled thread-scoped mutation instead of ad hoc scripts. |
| Resolve a review thread | Dedicated MCP review-thread resolve tool, otherwise assets/resolve-review-thread.graphql |
Use the matching structured tool for the current client/session. ⚠️ GraphQL note: resolveReviewThread uses threadId, not pullRequestReviewThreadId. |
| List PR reviews (review URL/id lookup support) | assets/pull-request-reviews.graphql |
Useful when starting from review URL context. |
Pro tip: See each
.graphqlfile in assets for complete mutation/query syntax and parameter names.
Review-resolution workflows make multiple GraphQL mutation calls (reply + resolve per thread). Be conservative:
first/last connection arguments small (prefer first: 100 only when you need all threads in a single page).retry-after header is returned, stop processing and respect the indicated wait before retrying.Return a concise report containing:
When an issue is provided (for example equinor/fusion-core-tasks#432):
--apply for mutations.Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
fusion-github-review-resolution reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in fusion-github-review-resolution — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend fusion-github-review-resolution for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
fusion-github-review-resolution fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added fusion-github-review-resolution from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend fusion-github-review-resolution for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in fusion-github-review-resolution — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for fusion-github-review-resolution matched our evaluation — installs cleanly and behaves as described in the markdown.
fusion-github-review-resolution has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: fusion-github-review-resolution is the kind of skill you can hand to a new teammate without a long onboarding doc.
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