| title | Hiten Shah — Every Company's First AI Strategy Should Be a Skill Library |
|---|---|
| source-id | hiten-shah-skill-library-2026 |
| wiki-page | (01_Projects/20260616 GSB/References/Others/2026-06-07 Every Company's First AI Strategy Should Be a Skill Library.md) |
| last-synced | 2026-06-07 |
Hiten Shah's June 2026 thesis (X post): "Every company's first AI strategy should be a skill library." The cleanest single articulation of what makes AI strategy defensible and company-specific. A skill is a documented, versioned, forkable unit of how the work gets done — that an agent can load and execute.
- "Every company's first AI strategy should be a skill library." — Hiten Shah, June 2026.
- A skill library captures what the company knows. It encodes the firm's processes (Process 20%), its people's expertise (People 70%), and is auditable for governance. It absorbs technology into something the company owns.
- The model commoditizes. The skill library is yours. Foundation models are vendor-trained. The orchestration layer (MIT NANDA 2025) is where the moat lives — and a skill library IS the orchestration layer, expressed as institutionalized knowledge.
- A skill library compounds as you operate. Each new skill added increases the system's capability. Each resolved edge case enriches the skill. The model doesn't improve with your company's operations — the skill library does.
- Connects People (70%) and Process (20%) directly. A skill is: documented process (Process) + role-specific judgment encoded (People) + auditable trail (Governance) + executable by an agent (Technology). It is the 70/20/10 stack in a single artifact.
---
name: skill-name
description: Use when [trigger moment]. Runs [methodology] and outputs [deliverable shape].
---
[Role-based instructions that encode HOW the work gets done]
A skill is:
- Documented — the knowledge is explicit, not locked in someone's head
- Versioned — changes are tracked; the org can see how its knowledge evolves
- Forkable — others can adapt it for their sector, role, or internal process
- Agent-executable — Claude (or any capable LLM) can load and run it
All five layers of the keynote point here:
- Governance: skills are auditable, version-controlled, reviewable
- Technology: skills absorb model capability without being dependent on any single model
- Process: skills encode the redesigned workflows, not the legacy ones
- People: skills capture the 70% — the expert judgment, the decision frameworks, the institutional knowledge
- Strategy: a skill library is the moat — it grows with use, it's industry-specific, it's yours
- For skill
general-maturity-assessment: a firm with a skill library is operating at Stage 3+ — it has architected for reuse, documented its processes, and is treating AI as infrastructure. - As the synthesis reference for all 8 skills: each skill in this collection is an instance of Hiten Shah's thesis.
Hiten Shah, X post, June 2026. "Every company's first AI strategy should be a skill library."