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business-operations-skills

Use when running, diagnosing, or designing internal business operations — process documentation, vendor SLAs, capacity planning, internal comms, SOP/runbook authoring, procurement spend. Triggers on "BizOps review", "where's the bottleneck", "vendor health", "internal SOP", "all-hands deck", "spend categorization", "capacity for Q3", "process mapping". Forks context to route to one of six BizOps sub-skills (process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizer) and returns a digest. Distinct from business-growth (external sales motion) and c-level-advisor (strategic, not operational).

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name business-operations-skills description Use when running, diagnosing, or designing internal business operations — process documentation, vendor SLAs, capacity planning, internal comms, SOP/runbook authoring, procurement spend. Triggers on "BizOps review", "where's the bottleneck", "vendor health", "internal SOP", "all-hands deck", "spend categorization", "capacity for Q3", "process mapping". Forks context to route to one of six BizOps sub-skills (process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizer) and returns a digest. Distinct from business-growth (external sales motion) and c-level-advisor (strategic, not operational). context fork version 2.8.0 author claude-code-skills license MIT tags ["bizops","operations","process","vendor","capacity","sop","procurement","coo","orchestrator"] compatible_tools ["claude-code","codex-cli","cursor","antigravity","opencode","gemini-cli"] Business Operations — Domain Orchestrator The BizOps surface is internal : how the company actually runs. This orchestrator forks its conversation context, routes your inquiry to one of six sub-skills, then returns a tight digest to the parent thread. The heavy ingestion (vendor catalogs, process interviews, multi-doc SOP intake) stays in the forked context. When to invoke Symptom Sub-skill to route to "Where does the work spend most of its time waiting?" process-mapper "Is this vendor delivering against the SLA?" vendor-management "Do we have enough people to ship in Q3?" capacity-planner "I need to brief the company on a re-org" internal-comms "Write me a runbook for the incident response process" knowledge-ops "Why is our software spend up 40% YoY?" procurement-optimizer Routing logic (deterministic) The orchestrator classifies the inquiry by signals detected in the prompt. Two-signal threshold for confident routing; one-signal triggers a clarifying question. Signal table Signal class Keywords Sub-skill PROCESS bottleneck, cycle time, waiting, handoff, BPMN, process map, workflow process-mapper VENDOR vendor, supplier, SLA, contract, third-party, MSA, SaaS subscription, renewal vendor-management CAPACITY headcount, capacity, utilization, planning, hiring sequence, FTE capacity-planner COMMS all-hands, internal newsletter, announcement, change management, FAQ, town hall internal-comms KNOWLEDGE SOP, runbook, knowledge base, wiki, playbook, documentation, onboarding doc knowledge-ops PROCUREMENT spend, procurement, purchase, supplier rationalization, software audit, SaaS sprawl procurement-optimizer If signals are mixed (e.g., "vendor SLA + spend audit"), run the highest-confidence sub-skill first , then chain into the second one in a follow-up forked turn. Fallback If no signal class scores ≥ 2, ask one clarifying question naming the two most likely candidates. Do NOT guess silently. Workflow (Matt Pocock grill discipline) Derived from Matt Pocock's grill-with-docs pattern: explore-then-ask, one question per turn with a recommended answer, walk the decision tree depth-first, track dependencies, anchor every challenge in the documented canon ( references/ ). Step 1 — Explore before asking Before any clarifying question, check: Does the user's working directory already contain a process map, vendor catalog, SOP, or org chart we can grep? Does the inquiry already disambiguate the lane (e.g., "vendor SLA review" — that's vendor-management , no question needed)? Is the lane unambiguous from filenames mentioned ( procurement-Q3.csv → procurement)? If the codebase resolves the lane, route silently . Don't ask. Step 2 — If still ambiguous, ONE forcing question with a recommended answer Matt's rule: never bundle questions. Never default to "what do you think?". Always offer your recommendation. Pattern: Q1/1: [precise question naming the two candidate lanes] Recommended: [Lane X, because <one-sentence rationale from the signal table>] (Confirm, or override?) Wait for the user's response. Then route. Never guess silently after a turn that asked a question. Step 3 — Forking decision-tree walk (only if the inquiry crosses lanes) If the user's inquiry legitimately crosses two lanes (e.g., "vendor SLA + spend audit" = VENDOR + PROCUREMENT), walk the tree depth-first : Resolve the higher-confidence lane first → run that sub-skill in forked context → return digest Ask: "Should we now run [second lane]? My recommendation: yes, because [dependency reason]." Only after explicit user confirmation, run the second sub-skill Do NOT chain silently. Each fork is an explicit user-confirmed step. Step 4 — Invoke sub-skill in forked context Each sub-skill is invoked with the original prompt + a digest of any structured inputs (file paths, JSON inputs). The fork keeps heavy ingestion (vendor catalog, process transcripts, SOP source documents) out of the parent context. Step 5 — Return digest with cited canon challenge When the sub-skill completes, return a ≤ 200-word digest to the parent thread: What was analyzed Top 3 findings (each anchored in a reference doc citation — e.g., "Goldratt's Theory of Constraints: optimize the bottleneck, not the non-constraint") Top 3 next actions (named owners if possible) Path to the artifact(s) produced One grill challenge for the user, cited: "Your value-add ratio is 12%. Lean canon (Womack & Jones 1996) classifies <15% as waste-heavy. What's blocking process redesign — political, technical, or budget?" The parent agent can then ask follow-ups (each triggering new forked invocations). Forcing-question library (grill-with-docs pattern) When the user has provided enough context to enter a lane, the orchestrator may grill them on the decisions inside that lane before invoking the sub-skill. One question per turn, each with a recommended answer + canon citation. Examples: PROCESS lane : "Before mapping: do you have measured cycle times per stage, or only estimates? Recommended: insist on measured data for the top-3 longest stages. Anti-pattern (Goldratt 1984): map estimates, optimize the wrong constraint." VENDOR lane : "Before scoring: what's your tier-1 criticality threshold — by spend ($X/year), or by operational dependency (revenue-blocking if vendor fails)? Recommended: operational dependency. Anti-pattern (Gartner TPRM): spend-only tiering misses critical low-spend vendors like the HVAC vendor in the Target breach." CAPACITY lane : "Before modeling: are you planning for utilization or throughput? Recommended: throughput (Little's Law). Anti-pattern (DORA): planning for utilization > 80% destroys throughput via queueing." Never run a sub-skill until the lane-defining decision is locked. Assumptions The user is acting on behalf of an organization with ≥ 10 employees (smaller orgs don't need this surface). The user has access to the data the sub-skill needs (process docs, vendor list, spend export, etc.) — or accepts the skill's templated dummy data. The user wants deterministic, repeatable analysis over LLM-flavored prose. Every sub-skill ships stdlib-only Python tools. Non-goals Not a substitute for an ERP, vendor management platform (Vendr, Tropic), or capacity-planning SaaS (Float, Runn). Does not store state across sessions — every invocation is self-contained. Does not call external APIs from Python tools (stdlib only, by design). Distinct from business-growth/* — that's the external sales motion (CSM, sales engineering, RevOps). BizOps is internal . c-level-advisor/coo-advisor — that's strategic COO judgment ("should we restructure?"). BizOps is tactical ("here's the process map with bottlenecks"). engineering/slo-architect — that's system reliability with SLO/SLI/error budgets. process-mapper is business process reliability, not system reliability. engineering/llm-wiki — that's a personal PKM (Karpathy's pattern). knowledge-ops is company-wide SOP authoring. Output artifacts Every sub-skill produces at least one artifact (markdown, CSV, or JSON) saved to the user's working directory. The orchestrator surfaces the file path in the digest. Anti-patterns (do not) ❌ Run all 6 sub-skills "to be thorough" — pick one based on signal, return digest, let user chain ❌ Auto-approve a vendor or process change — surface findings; the human decides ❌ Edit production process docs without asking — write to a new file, propose the diff ❌ Skip the digest step — parent context needs ≤ 200-word digest, not the full sub-skill output References See c-level-advisor/coo-advisor for strategic COO framing Path-B build pattern: documentation/implementation/bizops-commercial-expansion-plan.md
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skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
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