Enterprise

One skill, used well, beats ten prompts. This track teaches you to extract patterns into reusable skills, add quality gates, and deploy across teams.

5 levels 10-16 weeks artifact: Reusable skill with quality gates

Demonstrated, not asserted

  • ai-champions-kit clone The tiered, copy-in library of skills and subagents this track teaches you to build — clone it and install a tier into any project. ./install.sh --tier universal verified 2026-07-15

Who this is for

This path is for you if

  • ·You're scaling AI workflows across a team or organization
  • ·You need reusable, governed AI capabilities (not one-off prompts)
  • ·You're a team lead or manager responsible for AI adoption
  • ·You've completed at least one other track

Probably not if

  • ·You're just getting started with AI (see Explorer Track)
  • ·You haven't shipped production work yet (see Builder Track)
  • ·You're working alone without team requirements
  • ·You don't have recurring workflows to systematize

Skills vs Prompts

Most teams share prompts. Skills are better. Prompts get copy-pasted and drift over time, carry no versioning or governance, vary in quality by user, and are hard to improve systematically. Skills are versioned, maintained, and governed; they bundle scripts, templates, and references; they produce consistent output; and every improvement benefits everyone.

The levels

0 Identify Reusable Patterns 2-3 days

Find the workflows worth extracting into skills.

Signals a workflow needs a skill

  • ·You do the same type of task repeatedly (weekly+)
  • ·Multiple people need to do the same type of task
  • ·The output has consistent structure (not freeform)
  • ·Quality varies between executions
  • ·You've already written instructions or templates for it

Workflow mapping table

  • Task — What is it? (e.g., "Write architecture doc")
  • Frequency — How often? Weekly? Per project?
  • People — How many people do this?
  • Structure — How consistent is the output?
  • Quality Gap — How much does quality vary?

Checkpoints

  • ·Mapped 10+ recurring workflows
  • ·Scored each on frequency, people, structure, quality gap
  • ·Identified top 3 candidates for skill extraction

Done when — You can identify 3 workflows that would benefit from skill extraction

1 Build Your First Skill 2-3 weeks

Create a working Claude skill for your top workflow.

Skill directory structure

  • SKILL.md — Core prompt with YAML frontmatter (name, description, triggers)
  • scripts/ — Python/Bash scripts for automation
  • references/ — Documentation loaded into context
  • assets/ — Templates, examples, binary files

Requirements

  • ·Check the current limits against Anthropic's agent-skills docs — platform.claude.com/docs — they change; this page deliberately doesn't pin them.
  • ·Clear trigger conditions (when should this skill activate?)

Checkpoints

  • ·Working SKILL.md with valid frontmatter
  • ·Skill produces expected output on 5+ test inputs
  • ·Someone else can use the skill without explanation

Done when — You have a skill that produces consistent, quality output

2 Add Multi-Format Export 2-3 weeks

Extend your skill to output multiple formats.

Common export formats

  • Markdown — Version control, editing, collaboration
  • HTML — Web publishing, previews, interactive elements
  • PDF — Print, formal delivery, archival
  • PPTX — Presentations, stakeholder reviews
  • DOCX — Client edits, redlining, formal documents

Export patterns

  • ·Generate canonical format first (usually Markdown)
  • ·Transform to other formats via scripts
  • ·Preserve semantic structure across formats
  • ·Handle format-specific features (slides, tracked changes)

Checkpoints

  • ·Export to at least 3 formats
  • ·Automated format conversion (not manual copy-paste)
  • ·Format-specific features preserved (not just text dump)

Done when — Your skill exports to 3+ formats

3 Implement Quality Gates 2-3 weeks

Add validation that catches quality issues before delivery.

Quality rubric dimensions

  • Completeness — All required sections present
  • Accuracy — Claims verifiable, no hallucinations
  • Consistency — Terminology, formatting, voice consistent
  • Actionability — Clear next steps, implementable
  • Fit — Matches audience, context, constraints

Automation options

  • ·Structural checks (required sections, word counts)
  • ·Terminology validation (banned words, required phrases)
  • ·Cross-reference validation (internal links work)
  • ·LLM scoring against rubric criteria

Checkpoints

  • ·Quality rubric with 5+ dimensions
  • ·At least 2 dimensions automated
  • ·Gate blocks delivery when thresholds not met
  • ·Documented false positive rate

Done when — Quality rubric with automated checks

4 Deploy Team-Wide 4+ weeks

Scale your skill system across teams.

Governance components

  • Skill Registry — Catalog of skills with metadata (owner, version, status)
  • Access Control — Who can use, create, modify skills
  • Version Management — How skills evolve, backward compatibility
  • Quality Standards — Minimum bar for new skills
  • Usage Monitoring — Track adoption, success rates, feedback

Skills that ship in ai-champions-kit

  • Solution Architecture — Generates arc42 docs with C4 diagrams. References: templates/, quality rubric with 10 dimensions. Triggers: "document the architecture"
  • Strategic Deck — Creates slide content with brand colors + typography. Scripts: html2pptx converter. Assets: color palettes, font specs.
  • Governance Playbook — Multi-volume playbook generator with client variable substitution. Quality gate: terminology validation, section completeness.
  • Voice Auditor — Scores content against voice principles. References: the published voice guide. Output: score card with before/after examples.

Success metrics

  • ·Skills in production
  • ·Users per skill
  • ·Time saved vs manual
  • ·Quality consistency (variance reduction)
  • ·Adoption rate across teams

Checkpoints

  • ·3+ skills in production use
  • ·2+ teams using skill system
  • ·Governance process documented and followed
  • ·System runs without your involvement for 2+ weeks

Done when — Multiple teams using skills with governance

Tool links and level references live in a dated data file checked by the link sensor on every build — this page can't silently point at a moved doc or a dead demo.