From thinking
Build and query domain-specific wisdom frames — crystallised patterns from accumulated experience. Use to capture high-confidence principles or to consult accumulated wisdom before making decisions.
npx claudepluginhub hpsgd/turtlestack --plugin thinkingThis skill is limited to using the following tools:
Manage wisdom frames — domain-specific collections of crystallised behavioral knowledge. Use `$ARGUMENTS` to record observations, query a domain, or synthesise cross-domain patterns.
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Manage wisdom frames — domain-specific collections of crystallised behavioral knowledge. Use $ARGUMENTS to record observations, query a domain, or synthesise cross-domain patterns.
Wisdom frames are fed by the /learning skill — individual learnings accumulate, and when patterns emerge (5+ learnings in a category), they crystallise into wisdom frame principles.
A wisdom frame is a living document for a specific domain (e.g., communication, development, deployment, architecture) that accumulates:
Each principle has a confidence level based on how many times it's been observed and verified. Principles above 85% confidence are considered crystallised — reliable enough to act on without re-verification.
When you notice a pattern worth capturing:
Common domains: communication, development, deployment, architecture, content-creation, testing, debugging, design
Store wisdom frames in the project's memory directory as wisdom-{domain}.md:
---
name: wisdom-development
description: Development domain wisdom — crystallised patterns for writing and shipping code
type: reference
---
## Core Principles
- [CRYSTAL 92%] Surgical fixes only — never rearchitect as a fix (observed: 12 times)
- [CRYSTAL 87%] Read before modifying — understand existing patterns first (observed: 8 times)
- [68%] One change when debugging — isolate before expanding scope (observed: 4 times)
## Contextual Rules
- In monorepos: run full CI across all projects before pushing
- When touching API endpoints: verify both unit and integration tests
## Predictive Model
| Request pattern | Likely intent | Right response |
|---|---|---|
| "clean up" | Minimal targeted fix | Small diff, no refactoring |
| "make it better" | Improve specific quality | Ask which dimension |
## Anti-Patterns
- **Mocking everything** (severity: high) — masks real integration failures. Root cause: speed over correctness
- **Batch verification** (severity: medium) — marking criteria complete at the end. Root cause: wanting to "just finish"
## Evolution Log
- 2026-04-01: Added "surgical fixes" principle (source: repeated correction)
When starting work in a domain, query the relevant wisdom frame:
When asked to synthesise, or when wisdom frames have grown substantially:
Cross-domain principles are especially valuable — they represent fundamental truths about how work should be done, not domain-specific quirks.
Assess each frame periodically:
## Wisdom Updated: [domain]
**Observation type:** [principle/contextual-rule/prediction/anti-pattern]
**Added:** "[observation text]"
**Confidence:** [N]% (based on [M] observations)
**Frame status:** [Growing/Stable]
**Saved to:** [file path]
## Wisdom: [domain]
### Applicable Principles (sorted by confidence)
| Confidence | Principle | Observations |
|---|---|---|
| [N]% | [principle] | [count] |
### Relevant Anti-Patterns
- [anti-pattern] — root cause: [cause]
### Predictions for Current Context
| Pattern | Likely Response | Confidence |
|---|---|---|
| [request pattern] | [right response] | [N]% |
## Cross-Domain Synthesis
### Universal Principles (appear in 2+ domains)
| Principle | Domains | Avg Confidence |
|---|---|---|
| [principle] | [domain1, domain2] | [N]% |
### Recurring Anti-Patterns
| Anti-Pattern | Domains | Root Cause |
|---|---|---|
| [pattern] | [domains] | [common cause] |
/learning — individual learnings feed into wisdom frames. When 5+ learnings form a pattern, crystallise them here./health-check — audits wisdom frame health as part of the project health report.