Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/chouswei/cursor-user-skills --skill reasoning-strategy-selectorコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか?SkillsMP が現在取得できるファイルをダウンロードできます。
Keep a working plan as MemNet session rows (campaign or plan task plus ordered step tasks with execution waves). Pin the live neighbourhood, then mutate to draft, update, or repolish. At plan time, mark which steps may run in parallel. Execute a ready wave via memnet-multitask when asked. Chat is a Shape of the graph, never the plan SSOT. Triggers: memnet plan, plan in memnet, update memnet plan, repolish plan, session plan, memnet planner, plan waves, parallel plan steps, execute plan wave. Skip: Markdown-only project-planner interview with no MemNet; building the MemNet engine.
Enforceable MemNet doctrine for Cursor Multitask Mode and Task sub-agents: one shared session SSOT, TCP or streamable-http transport, parent/worker MUST/MUSTNOT, MN-REQ-12 usage, system-dev two-store pattern for modelbasedPrj-*. Triggers: Multitask Mode, multitask, multi-agent, Task sub-agent, background worker, parent coordinator, delegate worker, shared session, memnet multitask, system-dev multitask, modelbasedPrj multitask, MN-REQ-12, parallel workers, TSK_* settle, TCP serve, streamable-http MCP, GQL wire, shaped pin_map.
How to use MemNet as mission working memory: goldfish loop, chat never SSOT, drop prior maps. Triggers: use memnet, how to use memnet, memnet goldfish, mission working memory, chat never SSOT, session graph.
SKILL.md を表示中
| name | reasoning-strategy-selector |
| description | >- |
Optional router — MemNet skill graph + wire seed. Canonical pack: user-pack only (D1).
Not a default fallback for unclear project work; use repo AGENTS.md / ask the user first.
Source of truth: references/skill-graph-seed.wire (D2). Generated views: core-strategy-principles.md, SKILL-GRAPH.md trigger table.
Schema: skill-graph.md · Golden set: routing-golden-set.md
Tools:
python tools/score_routing.py — benchmark graph routing on golden set
python tools/bootstrap_skill_graph.py --regenerate-views — sync generated views from seed
python tools/scan_skills_to_wire.py --write — rebuild seed from SKILL.md scan
python tools/validate_selector_pack.py — pack + graph density checks
python tools/strategy-retriever.py "<q>" — graph trigger match helper (not convolution)
python tools/record_routing_success.py TSK_route_<slug> <id> [...] — format led_to_success @EDG rows for MemNet
Phase 4: phase4-learning-loop.md — parent agent records empirical routing edges on settle.
Main agent: open <pack-root>/<id>/SKILL.md per order[]. SysML skills outside related_skills still routable via graph; for single obvious sysml-* match, order: [] + SKILL-GRAPH fast-path remains valid.
order[] from graph walk.related_skills.txt iteration; using this skill as a thinking substitute.