Price, choose, audit and gate an agent memory system — the full four-lens memory-engineering pass.
所属插件包：memory-engineering
/cs:notebooklm — NotebookLM browser automation. Action-routing intake (Q1: read / add source / Studio output / create new) + per-action Q2-Q4 branching. Fire-an
所属插件包：notebooklm
Partner tier classification (Referral / Reseller / OEM / SI / Strategic) + joint GTM plan + revshare model. NOT technical sale and NOT channel economics math. D
所属插件包：commercial-skills
/cs:patent <invention> — Patent prior-art + landscape intelligence with mandatory sub-use-case commitment. 6-Q grill-me intake (Q2 picks one of: novelty / FTO /
所属插件包：patent
Top-level project-management router. Classifies a PM inquiry across 8 lanes (sprint/flow, portfolio health, Jira, Confluence, admin, templates, meetings, comms)
所属插件包：pm-skills
Drive a project-delivery goal through a bounded agentic loop — Jira MCP snapshot → flow/sprint analytics bridge → routed sub-skill execution → machine-verified
所属插件包：pm-skills
/cs:pmf-check — Are you before or after product/market fit? A focused Andreessen-mode interrogation that scores the felt signals + the Sean Ellis 40% gate and i
所属插件包：andreessen
Pricing model selection (subscription / usage / value / hybrid), Van Westendorp WTP analysis, packaging design. Recommends a model + range, never a specific num
所属插件包：commercial-skills
Map an internal business process (BPMN-style swim lanes), measure cycle time, and detect bottlenecks where work spends most of its time waiting. Direct invocati
所属插件包：business-operations-skills
Spend categorization + supplier rationalization + purchasing-cycle analysis. NOT vendor performance scoring (sibling vendor-management). NOT financial close (fi
所属插件包：business-operations-skills
Top-level product-team router. Classifies a product inquiry across 16 lanes (prioritization, OKRs, UX, design system, competitive, analytics, experiments, disco
所属插件包：product-skills
Run the continuous-discovery loop — score the weekly cadence (Torres), act on the named gap, lint the Opportunity Solution Tree as the machine gate, and keep th
所属插件包：product-skills
Product / user research methodology. Select the right method for the goal (generative vs evaluative vs validation), compute method-based saturation / sample siz
所属插件包：research-ops-skills
/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), opt
所属插件包：pulse
/cs:reflect — Mid-conversation reflection: halts current thread, re-reads full conversation from original goal forward, runs 5-dimension analysis (Macro / Gap /
所属插件包：reflect、reflect-skill
/cs:research <question> — Default research entry point. Hybrid router: classifies question deterministically and either delegates to specialist (pulse / grants
所属插件包：research-orchestrator、research
R&D program finance. Build a multi-period program budget with the F&A (indirect) split, track burn rate and runway against value-inflection milestones, and rout
所属插件包：research-ops-skills
Top-level Research Operations router. Classifies an enterprise research inquiry (clinical study design / R&D finance / market research / product research) and f
所属插件包：research-ops-skills
Structured RFP/RFI/RFQ response with win-theme injection and proof-point matrix. NOT free-form proposal authoring (that's business-growth/contract-and-proposal-
所属插件包：commercial-skills
/cs:roast — Convene a 5-angle adversarial panel (Critic, Champion, Analyst, Investigator, Customer) on an idea, then a Judge delivers one GO / RESHAPE / KILL ve
所属插件包：roast
Phase 4 — make the agent run without you. Turn a graded agent into a recurring POSIX-cron scheduled deployment (optionally self-grading each firing), an event-d
所属插件包：agent-launcher-skills
Route, extract, and validate a scraping job (URL or local file) via the universal-scraping-architect skill — refuses to deliver unvalidated data.
所属插件包：universal-scraping-architect
Grade the agent setup from real local session history — rubric-scored, evidence-gated, rendered as one local shareable report.
所属插件包：skill-doctor
/cs:spinning-up-deep-rl [topic | framework | chNN] — query the knowledge base compiled from Spinning Up in Deep RL by Joshua Achiam (OpenAI). Use when applying
所属插件包：spinning-up-deep-rl
