fusion-issue-solving

name	fusion-issue-solving
description	Handles GitHub issue resolution end-to-end for prompts like "solve #123", "lets solve #123", "work on #123", "work on https://github.com/owner/repo/issues/123", or by pasting a direct GitHub issue URL as the request. USE FOR: solve #123, continue work on issue #123, work on https://github.com/owner/repo/issues/123, paste a GitHub issue URL for implementation work. DO NOT USE FOR: issue drafting only, PR review only, or non-implementation research.
license	MIT
metadata	{"version":"0.1.7","status":"experimental","owner":"@equinor/fusion-core","tags":["github","github-issue","issue-solving","issue-workflow","implementation","workflow","continue"],"mcp":{"suggested":["github","mcp_fusion"]}}

Issue Solving Workflow

When to use

Use when the user wants to solve or continue a GitHub issue end-to-end, including short current-repo prompts like solve #123, direct GitHub issue URLs, or requests like lets work on https://github.com/owner/repo/issues/123.

Typical triggers:

• "lets solve #123"
• "solve #123"
• "work on #123"
• "lets work on https://github.com/owner/repo/issues/123"
• "https://github.com/owner/repo/issues/123"
• "continue work on issue #123"
• "implement issue #123 end-to-end"
• "work on this ticket: [issue URL]"
• "research, implement, and prepare a PR for this issue"

Treat GitHub issue URLs as interchangeable with #123 references for verbs like solve, fix, implement, continue, finish, or work on. A direct GitHub issue URL can serve as the main request payload when no competing intent is stated.

When not to use

• Request is only issue drafting/authoring
• No implementation changes expected
• Repository write operations are disallowed

Required inputs

Collect before execution:

• issue URL or owner/repo#number
• repository and branch/worktree decision
• acceptance criteria and out-of-scope constraints
• required validation commands for the target repository

Optional:

• related issues/PRs
• risk areas to prioritize
• requested commit/PR granularity

Instructions

1. Ask whether to use a dedicated git worktree

   • Ask this before any other workflow questions.
   • If yes, use/create the worktree and continue there.

2. Confirm issue context and success criteria

   • Read the issue body, labels, and linked discussions once, then reuse that context instead of refetching.
   • Restate the implementable scope and explicitly list out-of-scope items.

3. Confirm assignee intent for issue closure work

   • Check whether the current user is assigned to the primary issue.
   • If the current user is not assigned, ask whether they want to assign themselves before continuing.
   • For each sub-issue that will be resolved or closed by this workflow, check assignee status once and reuse the result for closure decisions.
   • If the current user is not assigned on a sub-issue, ask whether they want to assign themselves before resolving/closing it.

4. Apply low-token GitHub strategy

   • Prefer MCP-backed tools over ad hoc gh api or GraphQL calls when equivalent tools exist.
   • Avoid duplicate lookups for labels, issue types, and duplicate detection.
   • Cache per-run context (issue metadata, duplicate matches, issue-type support, label sets, assignee candidates) and reuse it — do not re-fetch data that was already retrieved in this session.
   • When delegating to fusion-issue-authoring or its subordinate skills, the orchestrator's session-cache rules apply: labels and assignee candidates are fetched once per repository, issue types once per organization.
   • Use GraphQL fallback only when MCP coverage is unavailable and do not loop retries.
   • GraphQL mutations cost 5 secondary-limit points each (vs 1 for queries); batch fields into single calls and pause at least 1 second between mutation calls.
   • Budget awareness: a typical implementation session (read issue + duplicate check + 1–2 mutations + sub-issue links) should stay under ~20 MCP read calls and ~5 mutations. If the running total approaches 30+ calls, pause optional enrichment and proceed with local work.
   • Respect retry-after and x-ratelimit-reset headers; do not retry before the indicated wait.
   • If rate limits are hit, stop non-essential operations and continue with local implementation/PR preparation when possible.

5. Build and track a concrete plan

   • Create actionable todos ordered by dependencies.
   • Keep exactly one step in progress and update status as work completes.

6. Research before edits

• Before any GitHub mutation (create/edit/comment/close), ask for explicit user confirmation.
• If requested, update issue status/comments with objective progress.
• Prefer MCP tool mutations over ad hoc API calls when equivalent operations exist.
• If GitHub API rate limits block mutation, report the failure clearly, stop retry loops, and propose a safe retry sequence.
• If requested, create or update the PR using the repository PR template and the .tmp/ PR body draft file, using the confirmed base branch, draft/ready state, assignee choice, and related issue links.

Expected output

Return a concise delivery report with:

• implemented scope vs original issue criteria,
• files changed,
• validation commands and outcomes,
• assignment decisions for primary issue and affected sub-issues,
• API usage strategy used (MCP-first/cache reuse/fallbacks),
• open risks/blockers,
• PR body summary (or .tmp/ draft file path when created).

Assets

• assets/issue-solving-checklist.md

Safety & constraints

• This skill is mutation-capable. Repository-local workflow instructions take precedence over inline guidance when they conflict.
• Never request or expose secrets/credentials.
• Never run destructive commands without explicit confirmation.
• Keep changes minimal and scoped to the issue.
• Do not claim checks passed without running them.
• Follow repository instructions and contribution rules.