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.
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 universalverified 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.