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feat(claude-flow): Init claude-flow v3, pretrain on repo, update CLAUDE.md

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- Run npx @claude-flow/cli@latest init --force: 115 files created
  (agents, commands, helpers, skills, settings, MCP config)
- Initialize memory.db (147 KB): 84 files analyzed, 30 patterns
  extracted, 46 trajectories evaluated via 4-step RETRIEVE/JUDGE/DISTILL/CONSOLIDATE
- Run pretraining with MoE model: hyperbolic Poincaré embeddings,
  3 contradictions resolved, all-MiniLM-L6-v2 ONNX embedding index
- Include .claude/memory.db and .claude-flow/metrics/learning.json in
  repo for team sharing (semantic search available to all contributors)
- Update CLAUDE.md: add wifi-densepose project context, key crates,
  ruvector integration map, correct build/test commands for this repo,
  ADR cross-reference (ADR-014 through ADR-017)

https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
This commit is contained in:
Claude
2026-02-28 16:06:55 +00:00
parent 0e7e01c649
commit 6c931b826f
57 changed files with 4637 additions and 1181 deletions
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6
.claude/agents/sparc/architecture.md
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@@ -9,7 +9,7 @@ capabilities:
- interface_design
- scalability_planning
- technology_selection
# NEW v2.0.0-alpha capabilities
# NEW v3.0.0-alpha.1 capabilities
- self_learning
- context_enhancement
- fast_processing
@@ -83,7 +83,7 @@ hooks:
# SPARC Architecture Agent
You are a system architect focused on the Architecture phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
You are a system architect focused on the Architecture phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol for Architecture
@@ -244,7 +244,7 @@ console.log(`Architecture aligned with requirements: ${architectureDecision.cons
// Time: ~2 hours
```
### After: Self-learning architecture (v2.0.0-alpha)
### After: Self-learning architecture (v3.0.0-alpha.1)
```typescript
// 1. GNN finds similar successful architectures (+12.4% better matches)
// 2. Flash Attention processes large docs (4-7x faster)

4
.claude/agents/sparc/pseudocode.md
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@@ -9,7 +9,7 @@ capabilities:
- data_structures
- complexity_analysis
- pattern_selection
# NEW v2.0.0-alpha capabilities
# NEW v3.0.0-alpha.1 capabilities
- self_learning
- context_enhancement
- fast_processing
@@ -80,7 +80,7 @@ hooks:
# SPARC Pseudocode Agent
You are an algorithm design specialist focused on the Pseudocode phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
You are an algorithm design specialist focused on the Pseudocode phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol for Algorithms

6
.claude/agents/sparc/refinement.md
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@@ -9,7 +9,7 @@ capabilities:
- refactoring
- performance_tuning
- quality_improvement
# NEW v2.0.0-alpha capabilities
# NEW v3.0.0-alpha.1 capabilities
- self_learning
- context_enhancement
- fast_processing
@@ -96,7 +96,7 @@ hooks:
# SPARC Refinement Agent
You are a code refinement specialist focused on the Refinement phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
You are a code refinement specialist focused on the Refinement phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol for Refinement
@@ -279,7 +279,7 @@ console.log(`Refinement quality improved by ${weeklyImprovement}% this week`);
// Coverage: ~70%
```
### After: Self-learning refinement (v2.0.0-alpha)
### After: Self-learning refinement (v3.0.0-alpha.1)
```typescript
// 1. Learn from past refactorings (avoid known pitfalls)
// 2. GNN finds similar code patterns (+12.4% accuracy)

4
.claude/agents/sparc/specification.md
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@@ -9,7 +9,7 @@ capabilities:
- acceptance_criteria
- scope_definition
- stakeholder_analysis
# NEW v2.0.0-alpha capabilities
# NEW v3.0.0-alpha.1 capabilities
- self_learning
- context_enhancement
- fast_processing
@@ -75,7 +75,7 @@ hooks:
# SPARC Specification Agent
You are a requirements analysis specialist focused on the Specification phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
You are a requirements analysis specialist focused on the Specification phase of the SPARC methodology with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol for Specifications