skills/alignment-values-north-star/SKILL.md
Creates actionable alignment frameworks that give teams a shared North Star (direction), values (guardrails), and decision tenets (behavioral standards). Enables autonomous decision-making while maintaining organizational coherence. Use when starting new teams, scaling organizations, defining culture, establishing product vision, resolving misalignment, creating strategic clarity, or when user mentions North Star, team values, mission, principles, guardrails, decision framework, or cultural alignment.
npx skillsauth add lyndonkl/claude alignment-values-north-starInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The framework has three layers: North Star (aspirational direction), Values/Guardrails (core operating principles), and Decision Tenets/Behaviors (concrete, observable demonstrations of values).
Quick Example:
# Engineering Team Alignment
## North Star
Build systems that developers love to use and operators trust to run.
## Values
- **Simplicity**: Choose boring technology that works over exciting technology that might
- **Reliability**: Every service has SLOs and we honor them
- **Empathy**: Design for the developer experience, not just system performance
## Decision Tenets
When choosing between options:
✓ Pick the solution with fewer moving parts
✓ Choose managed services over self-hosted when quality is comparable
✓ Optimize for debuggability over micro-optimizations
✓ Document decisions (ADRs) for future context
## Behaviors (What This Looks Like)
- Code reviews comment on operational complexity, not just correctness
- We say no to features that compromise reliability
- Postmortems focus on learning, not blame
- Documentation is part of "done"
Copy this checklist and track your progress:
Alignment Framework Progress:
- [ ] Step 1: Understand context
- [ ] Step 2: Choose framework
- [ ] Step 3: Develop alignment artifact
- [ ] Step 4: Validate quality
- [ ] Step 5: Deliver and socialize
Step 1: Understand context
Gather background: team/organization (size, stage, structure), current situation (new team, scaling, misalignment, crisis), trigger (why alignment needed NOW), stakeholders (who needs to align), hard decisions (where misalignment shows up), and existing artifacts (mission, values, culture statements). This ensures the framework addresses real needs.
Step 2: Choose framework
For new teams/startups (< 30 people, defining identity from scratch) → Use resources/template.md. For scaling organizations (existing values need refinement, multiple teams, need decision framework) → Study resources/methodology.md. To see examples → Review resources/examples/ (engineering-team.md, product-vision.md, company-values.md).
Step 3: Develop alignment artifact
Create alignment-values-north-star.md with: compelling North Star (1-2 sentences, aspirational but specific), 3-5 core values (specific to this team, not generic), decision tenets ("When X vs Y, we..."), observable behaviors (concrete examples), anti-patterns (optional - what we DON'T do), and context (optional - why these values). See Common Patterns for team-type specific guidance.
Step 4: Validate quality
Self-check using resources/evaluators/rubric_alignment_values_north_star.json. Verify: North Star is inspiring yet concrete, values are specific and distinctive, decision tenets guide real decisions, behaviors are observable/measurable, usable for decisions TODAY, trade-offs acknowledged, no contradictions, distinguishes this team from others. Minimum standard: Score ≥ 3.5 (aim for 4.5+ if organization-wide).
Step 5: Deliver and socialize
Present completed framework with rationale (why these values), examples of application in decisions, rollout/socialization approach (hiring, decision-making, onboarding, team meetings), and review cadence (typically annually). Ensure team can recall and apply key points.
For technical teams:
For product teams:
For company-wide values:
For crisis/change:
Do:
Don't:
resources/template.mdresources/methodology.mdresources/examples/engineering-team.md, resources/examples/product-vision.md, resources/examples/company-values.mdresources/evaluators/rubric_alignment_values_north_star.jsonOutput naming: alignment-values-north-star.md or {team-name}-alignment.md
testing
--- name: advisory-edit description: A strict advisory-only editing discipline for a writer who dictates ("speaks out") essays and wants help WITHOUT having their voice changed. The editor directs structure, flags grammar, and suggests strategic language — but never modifies the writer's text unless the writer explicitly says "apply" / "make that change" / "rewrite this." Produces a line-referenced, suggestion-only critique where every item is marked the writer's call. Four passes: structural, l
testing
Provides the house style for analyst-grade strategist writing — third-person register with sparing first-person, no em dashes, no "not X, not Y, not Z" negation cascades, numbered footnote citations rather than inline source parentheticals, specific opinion-signaling phrases, and topic-forward paragraph structure modeled on voice patterns observed in Damodaran's Musings on Markets and Thompson's Stratechery. Use when consolidating working notes into a finished long-form strategist or analyst report that must read as written by a senior human analyst rather than an AI assistant.
testing
Renders a markdown report to a PDF using pandoc with xelatex (11pt serif body, 1-inch margins, numbered footnotes, formal heading hierarchy). Requires a one-time install of pandoc and a LaTeX engine on the user's machine — basictex on macOS or texlive-xetex on Linux. Does not attempt automatic install. Fails loudly with the exact install commands if pandoc or xelatex is missing on the user's PATH. Use when producing a finished strategist or analyst report PDF from a polished markdown source.
testing
Produces step-by-step computational walkthroughs of vector and matrix operations as a sequence of numbered "frames", showing the explicit state at each step. The text-equivalent of a 3Blue1Brown animation — each frame shows what changed and why, so the learner can re-trace the operation by hand. Use when the learner needs to *see* a computation unfold (eigenvalue computation, attention with 3 tokens, gradient descent step, SVD on a 2×2, layer norm on a 3-vector, softmax of a small input), when an explanation has been given but the learner needs to ground it in a worked example, or when introducing an operation that's intimidating in symbol form but trivial in pencil-and-paper form.