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SKILL verified Apache-2.0 Self-run

Align

skill-waitdeadai-minmaxing-align · by waitdeadai

A Claude skill from waitdeadai/minmaxing.

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Install

$ agentstack add skill-waitdeadai-minmaxing-align

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

/align

MAXPARALLELAGENTS — 1 (single-threaded taste alignment check)

Use when: User says "align this", "does this fit our taste", "check this idea", or when /workflow triggers a taste gate. Or "/align --bootstrap" to define taste for new projects. For fresh-repo onboarding, prefer the clearer /tastebootstrap entrypoint.

Swarm: "swarm align" → /align (blocks /workflow on REJECTED, pauses on REVISION_NEEDED)


Purpose

Validate that a proposed task, idea, or change aligns with this project's taste.md and taste.vision before entering the /workflow execution loop. This is a taste gate — not a startup vetting.

Hard gate: If REJECTED, /workflow is blocked until the proposal is fundamentally redesigned. If REVISION_NEEDED, /workflow pauses until revisions address the taste gaps.


TASTE-FIRST Protocol

Before asking any questions, ALWAYS read:

  1. taste.vision — the intent document (why we exist)
  2. taste.md — the design spec (what's acceptable)

These are loaded first. All questions are derived from these documents, not from generic startup wisdom.


Execution Protocol

Step 1: Load Taste Documents

Read taste.vision and taste.md in full. Extract:

  • Design principles from taste.md
  • Intent from taste.vision
  • Non-goals (what we explicitly do NOT do)
  • Architectural constraints

Step 2: Present the Proposal

Ask the user to describe what they want to align. Wait for their description.

Step 3: Ask Taste-Aligned Questions

Present questions one at a time. Wait for answer before proceeding.


The 5 Taste Questions


Question 1: Design Principles Alignment

"Does this align with our design principles from taste.md?"

Principles to reference:

  • SPEC-first: write spec before code
  • Efficacy-first parallelism: use only the number of bounded independent packets that materially help
  • Separate verifier from implementer (PEV loop)
  • Research-first: verify AI claims with web search

Scoring:

  • YES (all principles honored)
  • PARTIAL (some principles honored, some ignored)
  • NO (violates core principles)

Question 2: Intent Fit

"Does this serve our stated intent from taste.vision?"

Intent: "minmaxing is a Claude Code harness that gets better outcomes by forcing explicit specification before implementation. Where other harnesses optimize for speed, we optimize for correctness."

Scoring:

  • YES (serves correctness over speed)
  • NO (prioritizes speed over correctness)

Question 3: Architectural Constraints

"Does this violate any of our architectural constraints?"

Constraints:

  • Supervisor/worker pattern for parallelism
  • File isolation between parallel agents
  • Quality gates before progression
  • Small functions, single responsibility
  • Explicit over implicit

Scoring:

  • YES (violates constraints)
  • NO (honors constraints)

Question 4: Scope vs Non-Goals

"Is this the right scope given our non-goals?"

Non-goals:

  • Not a code generator — it's a thinking system
  • Not for一次性 scripts — for projects that need to be right

Scoring:

  • YES (fits scope)
  • NO (crosses into code-generator territory or throwaway scripts)

Question 5: Trade-off Clarity

"What would we have to sacrifice to do this?"

This question forces explicit acknowledgment of trade-offs. Speed vs correctness. Scope vs quality.

Scoring:

  • ACCEPTABLE (trade-offs are explicit and within taste bounds)
  • UNACCEPTABLE (trade-offs violate taste)

Bootstrap Mode: /align --bootstrap

For new projects where taste.md + taste.vision don't exist.

Bootstrap Interview (10 questions)

  1. Design Principles — "What are the non-negotiable design principles?"
  2. Project Intent — "Why does this project exist, who is it for, and what should it be great at?"
  3. Experience Direction — "What kind of experience should this project create, and what should it avoid?"
  4. Communication & Interaction — "How should UI, CLI, docs, workflows, or other touchpoints communicate and behave?"
  5. Accessibility & Inclusion — "What accessibility, inclusion, and clarity rules are non-negotiable?"
  6. Interfaces & Contracts — "What public interfaces or contracts must stay explicit and stable?"
  7. Data & Ownership — "What data, state, and ownership boundaries should agents preserve?"
  8. Operations & Safety — "What error-handling, observability, rollback, and security rules are required?"
  9. Code & Architecture — "What code style, architecture, and naming rules are preferred?"
  10. Success & Non-Goals — "What does success look like, what is out of scope, and which tradeoffs are acceptable?"

Bootstrap Output Requirements

When the 10 answers are complete, write taste.md and taste.vision to project root using this structure.

taste.md
  • YAML front matter must include:
  • taste
  • version
  • created
  • principles
  • experience.posture
  • experience.accessibility
  • interfaces.contractStyle
  • interfaces.stateBoundaries
  • system.errorModel
  • system.observability
  • system.security
  • system.rollback
  • delivery.verification
  • Body section order must be:
  1. ## Overview
  2. ## Design Principles
  3. ## Experience & Interaction
  4. ## Interfaces & Contracts
  5. ## System Behavior
  6. ## Code Style
  7. ## Architecture
  8. ## Naming Conventions
  9. ## Do's and Don'ts
  • ## Experience & Interaction must contain:
  • ### Voice & UX
  • ### Interaction Patterns
  • ### Accessibility & Inclusion
  • ## Interfaces & Contracts must contain:
  • ### Public Surfaces
  • ### Data & State Boundaries
  • ## System Behavior must contain:
  • ### Errors & Resilience
  • ### Observability & Operations
  • ### Security & Privacy
taste.vision
  • YAML front matter must include:
  • taste
  • version
  • created
  • Body section order must be:
  1. ## Intent
  2. ## Audience
  3. ## Success Criteria
  4. ## Non-Goals
  5. ## Values & Tradeoffs
  6. ## Experience Promise

Bootstrap Mapping

  • Questions 1 and 3-9 primarily shape taste.md.
  • Questions 2 and 10 primarily shape taste.vision, but should also sharpen taste.md where needed.
  • Keep the kernel broad enough to work for products, APIs, CLIs, agents, automation, or mixed systems.
  • Only add frontend- or backend-specific rules when they genuinely matter for the project.

Output

  • Writes taste.md and taste.vision to project root
  • Output: TASTE_DEFINED

Review Mode: /align --review

Periodic taste review triggered every 30 sessions (or on demand).

Phase 1: Surface Evidence

Query memory for:

  1. Top causal factors — success and failure patterns from causal graph
  2. Recent error-solution pairs — recurring bugs and fixes
  3. Taste alignment scores — last 10 /workflow runs and their alignment scores
# Query causal graph for top factors
python3 -c "
from memory.causal import get_failure_factors, get_success_factors
failure_factors = get_failure_factors(limit=5)
success_factors = get_success_factors(limit=5)
print('FAILURE FACTORS:', failure_factors)
print('SUCCESS FACTORS:', success_factors)
" 2>/dev/null

# Query recent error patterns
bash scripts/memory.sh search "error" --tier error-solutions --limit 20 2>/dev/null | head -20

# Query recent semantic memories for alignment patterns
bash scripts/memory.sh search "taste" --tier semantic --limit 10 2>/dev/null | head -10

Phase 2: Present Review

## Taste Review — Session #[N]

### Causal Graph: Top Success Factors
- [Factor 1]: [weight] success correlation
- [Factor 2]: [weight] success correlation

### Causal Graph: Top Failure Factors
- [Factor 1]: [weight] failure correlation ⚠️ if >70%
- [Factor 2]: [weight] failure correlation

### Recent Error-Solution Patterns
- [Error pattern 1]: [times seen]
- [Error pattern 2]: [times seen]

### Recent Taste Alignments
- Session [N-9]: [score] — [task brief]
- Session [N-8]: [score] — [task brief]
- ...

### Taste Health Check
Does your taste.md still reflect your intent?
Does taste.vision still describe why this project exists?

**[ ] YES — taste is healthy
**[ ] REVIEW NEEDED — some aspects need updating
**[ ] EVOLVE NEEDED — significant changes proposed via --evolve

Phase 3: Human Decision

  • If healthy → continue
  • If review needed → human edits taste.md/taste.vision directly
  • If evolve needed → run /align --evolve

Evolve Mode: /align --evolve

Memory-informed taste change proposals. Proposes changes when evidence strongly supports it.

Trigger Conditions (agent proposes when ANY met):

  • ≥5 semantic memories cite the same principle or pattern
  • ≥3 error-solution pairs cite the same failure mode
  • Causal graph shows a factor with >70% failure correlation not in taste

Phase 1: Analyze Memory Evidence

# Check semantic memory frequency
python3 -c "
from memory.sqlite_db import MemoryDB
db = MemoryDB()
# Query for repeated principles
results = db.search(query='taste principle pattern', tier=2, limit=50)
# Count occurrences of each principle
from collections import Counter
principles = [r['text'] for r in results]
counter = Counter(principles)
for principle, count in counter.most_common(5):
    if count >= 5:
        print(f'PROPOSE: {principle} (seen {count} times)')
db.close()
" 2>/dev/null

# Check causal graph for high-failure factors
python3 -c "
from memory.causal import get_failure_factors
factors = get_failure_factors(limit=10)
for f in factors:
    if f['weight'] 70% failure correlation
        print(f'HIGH_FAILURE: {f[\"factor\"]} — {int((1-f[\"weight\"])*100)}% failure correlation')
        print(f'  Suggest adding to taste as constraint')
" 2>/dev/null

Phase 2: Generate Proposal

If threshold met, generate structured proposal:

## Taste Evolution Proposal

### Evidence (from memory)
- [N] semantic memories cite: [pattern]
- [N] error-solution pairs cite: [failure mode]
- Causal factor: [X] has [Y]% failure correlation

### Proposed Change to taste.md
```diff
+ ## New/Updated Principle
+ [Exact principle text to add]

Proposed Change to taste.vision (if applicable)

+ ## New/Updated Intent
+ [Exact vision text to add]

Rationale

[How this change serves your taste.vision intent]

Decision

[ ] APPROVE — make the change [ ] REJECT — keep current taste [ ] REVISE — modify the proposal


### Phase 3: Human Approval

Human reviews evidence and proposal, then decides:
- **APPROVE** → agent edits taste.md and/or taste.vision
- **REJECT** → no changes, log rejection to memory
- **REVISE** → human provides feedback, agent refines proposal

### Phase 4: Apply Change

If APPROVED:
```bash
# Edit taste.md
edit taste.md with approved changes

# Edit taste.vision if applicable
edit taste.vision with approved changes

# Log decision to memory
bash scripts/memory.sh add semantic "Taste evolved: [summary of change]. Rationale: [why approved]. Human approved." --tags "taste-evolution,council-decision"

Output Format

After all 5 alignment questions are answered:

## Taste Alignment Check

### Proposal: [brief description]

### Question Results

| Question | Score |
|----------|-------|
| 1. Design Principles Alignment | YES / PARTIAL / NO |
| 2. Intent Fit | YES / NO |
| 3. Architectural Constraints | YES / NO |
| 4. Scope vs Non-Goals | YES / NO |
| 5. Trade-off Clarity | ACCEPTABLE / UNACCEPTABLE |

### Taste Verdict

**[ALIGNED]** — All questions pass. Proceed to /workflow.

**[REVISION_NEEDED]** — Some questions fail. Revisions required before /workflow can proceed.
- Failed questions: [list which ones]
- Required changes: [specific revisions needed]

**[REJECTED]** — Core taste/vision violated. /workflow is BLOCKED.
- Failed questions: [list which ones]
- Root cause: [why this fundamentally doesn't fit]

### Next Step
If ALIGNED: invoke /workflow
If REVISION_NEEDED: revise and re-run /align
If REJECTED: abandon or fundamentally redesign this proposal

Note: Use /tastebootstrap as the primary fresh-repo entrypoint. /align --bootstrap remains the equivalent low-level bootstrap path.


Quality Gates

  • All 5 alignment questions must be answered in normal alignment mode.
  • All 10 bootstrap questions must be answered in bootstrap mode.
  • Answers must reference specific taste.md or taste.vision content
  • Verdict must match the evidence
  • REJECTED requires explicit explanation of taste violation
  • This skill produces ALIGNMENT DOCS only — no code, no SPEC.md

Anti-Patterns

  • Answering questions yourself instead of the user → FAIL
  • Skipping taste.md/taste.vision read → FAIL
  • Accepting vague alignment claims ("feels right") → FAIL, demand specificity
  • Claiming alignment without referencing taste documents → FAIL
  • Producing code/implementation instead of alignment check → BLOCK
  • Bypassing taste gate to proceed to /workflow → BLOCK

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.