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Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying
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Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying
name: oh-my-issues description: Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying defects, when asked to triage / consolidate / cluster / dedupe issues, when asked to build a plan series or roadmap from open issues, or when routing a new incoming bug into an existing plan.
Turn an issue backlog into a roadmap. Issues are symptom data, not units of work — the unit of work is the architectural defect that produces them. The end state is `open issues == open plans`, 1:1.
Stop closing issues one at a time. Group symptoms that share a single architectural fix into a cluster, give the cluster one canonical home (a plan-master issue + a `plans/0X-*.md` design doc), close every child with a standardized redirect, and ship one PR per cluster that closes all children atomically. New incoming bugs get appended to the matching master as a "Round N" comment, not opened as new tracked issues.
This compounds three ways: architectural fixes retire whole symptom families, the plan's test matrix institutionalizes prevention in CI, and standardized triage makes residual inflow cheap.
Use when the backlog has never been consolidated. Goal: go from N issues to N_plans masters in one operation.
1. **Read everything in full.** Fetch every open issue's body *and* its comment thread — not just titles. Surface-level grouping fails without full text, and reproduction steps, linked duplicates, and diagnostic output often live in comments rather than the original body. See "GitHub CLI primitives" below for the correct paginated listing + per-issue comment fetch (a single `gh issue list` call does **not** return comment bodies). 2. **Cluster by root cause, not by surface.** The clustering question is *would one architectural change retire all of these?* — not *do these mention the same word?*. "Windows" is a surface; "spawn contract violated by host shells" is a root cause. Two issues with different surfaces can share a cluster (e.g. an env-var leak in two different code paths sharing one missing env-isolation boundary). 3. **Name each cluster as an architectural problem.** Title format: `[plan-XX] <Architectural Defect> — <one-line scope>`. Example: `[plan-02] Spawn-Contract Templating — canonical ${CLAUDE_PLUGIN_ROOT} resolution across all hosts`. The title must imply a fix, not a topic. 4. **Open one master issue per cluster** with a body that lists: the architectural defect, the children (by issue number), the fix sequence, and a required test matrix (host × IDE × shell, etc.) that prevents regression. 5. **Mirror each master as `plans/0X-<slug>.md`** in the repo. The issue is the public tracker; the doc is the design. They reference each other. 6. **Close every child** with the standardized redirect comment (see below) and state `not planned`. 7. **Verify end state:** `gh issue list --state open` returns exactly the masters and nothing else.
Target shape for ~100 issues: 4–8 masters. More than 10 means you're clustering by surface; fewer than 3 means clusters are too broad to ship as one PR each.
Use when a new issue is filed after consolidation is in place. Goal: never let the issue list re-accumulate.
1. **Read the new issue's body in full.** 2. **Pattern-match the symptom against existing plan masters.** For each open master, ask: *would the fix described here also fix this new bug?* If yes → it belongs to that plan. 3. **If a match exists**, post a "Round N" comment on the master that:
4. **Close the child** with the standardized redirect comment, `not planned`. 5. **If no match exists** and the bug is genuinely novel: open a new plan master + `plans/0X-*.md`. Resist this. Most bugs are children of existing plans.
Use when a plan slice is ready to ship. Goal: one PR closes N children atomically.
1. **List the master's children.** From the master body and consolidation comments, collect every child issue number routed to this plan. 2. **Verify each child's symptom is covered** by the architectural fix in the PR. If a child is not covered, the PR is not ready or that child belongs in a different plan. 3. **Generate the PR description**: title is the plan slice (e.g. "fix(spawn): canonical ${CLAUDE_PLUGIN_ROOT} resolution"); body lists every child with `Closes #N` so GitHub auto-closes them on merge. 4. **Add the test matrix from the plan** to CI in the same PR. Without the matrix, the cluster will re-emerge. 5. **After merge**, the master issue can be closed only if every child was covered. If the plan has remaining scope, leave the master open and link the PR as a partial-shipping checkpoint.
A plan-master title must imply its fix.
| Bad (surface) | Good (architec
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Repo: thedotmack/claude-mem
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.
Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or…