npx claudepluginhub ibrahim-3d/conductor-orchestrator-superpowersWant just this skill?
Then install: npx claudepluginhub u/[userId]/[slug]
Specialized business logic evaluator for the Evaluate-Loop. Use this for evaluating tracks that implement core product logic — pipelines, dependency resolution, state machines, pricing/tier enforcement, packaging. Checks feature correctness against product rules, edge cases, state transitions, data flow, and user journey completeness. Dispatched by loop-execution-evaluator when track type is 'business-logic', 'generator', or 'core-feature'. Triggered by: 'evaluate logic', 'test business rules', 'verify business rules', 'check feature'.
This skill uses the workspace's default tool permissions.
Business Logic Evaluator Agent
Specialized evaluator for tracks that implement core product logic — generation pipelines, state machines, pricing, or other business-rule-heavy features.
When This Evaluator Is Used
Dispatched by loop-execution-evaluator when the track involves:
- Core product pipeline logic
- State machine or workflow systems
- Pricing tier enforcement
- Dependency resolution between deliverables
- Download or packaging features
Inputs Required
- Track's
spec.mdandplan.md conductor/product.md— product rules (deliverables, tiers, dependencies)- Project-specific pipeline/prompt configurations (if applicable)
- Data definition files (e.g., asset definitions, feature configs)
- Implementation code being evaluated
Evaluation Passes (6 checks)
Pass 1: Product Rules Compliance
Check against rules defined in conductor/product.md:
| Rule | What to Verify |
|---|---|
| Deliverables | All defined deliverables are implemented and functional |
| Dependencies | Each deliverable's dependencies are correctly enforced |
| Processing order | Sequential processing respects dependency chain |
| Tier system | Free tier limitations enforced, paid tier unlocks correct features |
| Pricing | Pricing model matches product spec (one-time, subscription, etc.) |
| State rules | State transitions (e.g., lock/unlock, draft/publish) propagate correctly |
### Product Rules: PASS / FAIL
- Rules checked: [count]
- Violations: [list rule: actual behavior]
- Deliverables functional: [X]/[total]
Pass 2: Feature Correctness
For each feature in the spec, verify it works correctly:
| Check | Method |
|---|---|
| Happy path | Primary user flow produces expected result |
| Input validation | Invalid inputs rejected with clear messaging |
| Output correctness | Generated data matches expected format/structure |
| State mutations | State changes are correct and complete |
| Side effects | Downstream effects trigger correctly (e.g., dependency propagation) |
### Feature Correctness: PASS / FAIL
- Features tested: [count]
- Correct: [count]
- Failures: [describe each]
Pass 3: Edge Cases
| Scenario | What to Verify |
|---|---|
| Empty state | First-time user with no data |
| Boundary values | Max input length, empty inputs, special characters |
| Concurrent operations | What happens if user triggers 2 operations at once |
| Network failure mid-operation | Partial state handled correctly |
| Re-processing | Re-running an operation on existing data prompts confirmation if needed |
| All items locked/finalized | UI reflects that no further changes are possible |
| Tier limits | Exceeding free tier limit shows upgrade prompt |
### Edge Cases: PASS / FAIL
- Scenarios checked: [count]
- Unhandled: [list]
- User impact: [describe]
Pass 4: State Transitions
Verify state machine correctness for your project's state model. Example pattern:
| State | Valid Transitions |
|---|---|
empty | → processing (when user triggers action) |
processing | → ready (success) or error (failure) |
ready | → locked (user finalizes) or processing (re-process) |
locked | → outdated (dependency changed) or ready (unlock) |
outdated | → processing (user re-processes) |
error | → processing (retry) |
Adapt the state table above to match your project's actual states.
### State Transitions: PASS / FAIL
- States implemented: [list]
- Invalid transitions possible: [list]
- Missing transitions: [list]
Pass 5: Data Flow
| Check | What to Verify |
|---|---|
| Input → Processing | User form data correctly feeds into processing pipeline |
| Processing → Output | Results stored/displayed correctly |
| Output → Persistence | Results saved to store/database |
| Cross-component | Data shared correctly between components |
| Stale data | No stale renders after state changes |
### Data Flow: PASS / FAIL
- Flow verified: [input → output]
- Stale data issues: [describe]
- Data loss points: [list]
Pass 6: User Journey Completeness
Walk through the complete user journey for the feature under evaluation. Example structure:
1. User provides input (form, selection, etc.)
2. System processes input
3. User reviews output
4. User can lock/finalize results
5. System handles dependencies between outputs
6. User views all deliverables
7. User can export/download results
8. User can re-process any unlocked item
9. Locked items show "outdated" if dependencies change
Adapt the journey steps above to match your project's actual user flow.
### User Journey: PASS / FAIL
- Steps completed: [X]/[total]
- Broken at step: [which]
- User experience: [smooth / friction at: describe]
Verdict Template
## Business Logic Evaluation Report
**Track**: [track-id]
**Evaluator**: eval-business-logic
**Date**: [YYYY-MM-DD]
### Results
| Pass | Status | Issues |
|------|--------|--------|
| 1. Product Rules | PASS/FAIL | [details] |
| 2. Feature Correctness | PASS/FAIL | [details] |
| 3. Edge Cases | PASS/FAIL | [details] |
| 4. State Transitions | PASS/FAIL | [details] |
| 5. Data Flow | PASS/FAIL | [details] |
| 6. User Journey | PASS/FAIL | [details] |
### Verdict: PASS / FAIL
[If FAIL, list specific fix actions for loop-fixer]
Handoff
- PASS → Return to
loop-execution-evaluator→ Conductor marks complete - FAIL → Return to
loop-execution-evaluator→ Conductor dispatchesloop-fixer
Similar Skills
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.