agentleFS
AdarshukumarAdarshukumar/skills/business-operations/CLAUDE.md

skills / business-operations

CLAUDE.md1 starsChanged 41 days agoMITView on GitHub

This file provides domain-specific guidance for skills in business-operations/. The Business Operations domain ships skills that help internal operators (BizOps lead, COO direct reports, vendor management office, IT ops) run the company day-to-day. This is not strategy (that's c-level-advisor/) and not external sales (that's business-growth/). Path-B 11-file contract per skill (Matt Pocock-derived discipline preserved):

Files
CLAUDE.md

Business Operations — Domain Guide

This file provides domain-specific guidance for skills in business-operations/.

Purpose

The Business Operations domain ships skills that help internal operators (BizOps lead, COO direct reports, vendor management office, IT ops) run the company day-to-day. This is not strategy (that's c-level-advisor/) and not external sales (that's business-growth/).

Skills (v2.8.0 complete)

SkillJob-to-be-donecontext: fork?
business-operations-skillsDomain orchestrator — routes inquiries to the 6 sub-skillsYES
process-mapperBPMN-style process docs + bottleneck + cycle-time (Lean / TOC canon)YES
vendor-managementVendor scoring + SLA + third-party risk (NIST SP 800-161 / ISO 27036)YES
capacity-plannerErlang-C queueing math for ops teams (NOT engineering capacity)NO
internal-commsADKAR + Kotter 8-step change comms (NOT marketing)NO
knowledge-opsSOPs + runbooks with 5W2H validation + KB hygiene (NOT personal PKM)YES
procurement-optimizerUNSPSC-aligned spend categorization + supplier consolidationNO

Build pattern

Path-B 11-file contract per skill (Matt Pocock-derived discipline preserved):

skill/
├── SKILL.md                  # YAML frontmatter + workflow + forcing-question library
├── scripts/                  # 3 stdlib-only Python CLI tools
├── references/               # 3 ref docs, ≥ 7 cited sources each
└── assets/                   # ≥ 1 user-customizable template

Hard rules

  1. Stdlib-only Python — no requests, pandas, numpy. Just argparse, json, sys, pathlib, statistics, dataclasses, enum, datetime, math, re, collections.
  2. Deterministic logic — no LLM calls in scripts. Same input → same output. Erlang-C math implemented in log-space to avoid factorial overflow.
  3. Industry tuning — every scoring tool exposes --profile {saas,services,manufacturing,healthcare,…} for threshold calibration.
  4. Matt Pocock grill discipline — orchestrator routes via one-question-per-turn with a recommended answer + canon citation. Never bundles. Never auto-routes silently after a question. Every SKILL.md ships a "Forcing-question library" section with 5-7 cited canon-anchored questions.
  5. Output is recommendation, not approval — vendor-management never says "replace this vendor"; procurement-optimizer never auto-consolidates suppliers; the human always decides.

Agent + command pattern

  • cs-bizops-orchestrator — the persona agent. Voice: "Where does the work spend most of its time waiting?" (Theory of Constraints anchor).
  • /cs:bizops <inquiry> — top-level router.
  • /cs:grill-bizops <plan> — Matt-style docs-anchored grilling before routing.
  • /cs:process-map, /cs:vendor-review, /cs:capacity-plan, /cs:internal-comms, /cs:knowledge-ops, /cs:procurement — direct per-skill invocation.

Anti-patterns (domain-level)

  • ❌ Skills that overlap business-growth/* (external sales motion) — BizOps is internal
  • ❌ Skills that overlap c-level-advisor/coo-advisor — that's strategic; BizOps is tactical
  • ❌ "Process improvement consultant" generic skills — every skill must answer a SPECIFIC question (e.g., "where's the bottleneck?", "is this vendor delivering?", "are we sized to peak demand?", not "how can we improve operations?")
  • ❌ Tools without --profile tuning — every score must be industry-tunable
  • ❌ Bundled questions in the orchestrator — Matt's rule: one at a time, with a recommended answer
  • ❌ Engineering-specific framing in capacity-planner — that's vpe-advisor's lane

References

  • Master plan: documentation/implementation/bizops-commercial-expansion-plan.md
  • Matt Pocock derivation: engineering/grill-me, engineering/grill-with-docs
  • Strategic complement: c-level-advisor/coo-advisor

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.