kazuki nakai 00706f0ea9
feat: comprehensive framework improvements (#447)
* refactor(docs): move core docs into framework/business/research (move-only)

- framework/: principles, rules, flags (思想・行動規範)
- business/: symbols, examples (ビジネス領域)
- research/: config (調査設定)
- All files renamed to lowercase for consistency

* docs: update references to new directory structure

- Update ~/.claude/CLAUDE.md with new paths
- Add migration notice in core/MOVED.md
- Remove pm.md.backup
- All @superclaude/ references now point to framework/business/research/

* fix(setup): update framework_docs to use new directory structure

- Add validate_prerequisites() override for multi-directory validation
- Add _get_source_dirs() for framework/business/research directories
- Override _discover_component_files() for multi-directory discovery
- Override get_files_to_install() for relative path handling
- Fix get_size_estimate() to use get_files_to_install()
- Fix uninstall/update/validate to use install_component_subdir

Fixes installation validation errors for new directory structure.

Tested: make dev installs successfully with new structure
  - framework/: flags.md, principles.md, rules.md
  - business/: examples.md, symbols.md
  - research/: config.md

* refactor(modes): update component references for docs restructure

* chore: remove redundant docs after PLANNING.md migration

Cleanup after Self-Improvement Loop implementation:

**Deleted (21 files, ~210KB)**:
- docs/Development/ - All content migrated to PLANNING.md & TASK.md
  * ARCHITECTURE.md (15KB) → PLANNING.md
  * TASKS.md (3.7KB) → TASK.md
  * ROADMAP.md (11KB) → TASK.md
  * PROJECT_STATUS.md (4.2KB) → outdated
  * 13 PM Agent research files → archived in KNOWLEDGE.md
- docs/PM_AGENT.md - Old implementation status
- docs/pm-agent-implementation-status.md - Duplicate
- docs/templates/ - Empty directory

**Retained (valuable documentation)**:
- docs/memory/ - Active session metrics & context
- docs/patterns/ - Reusable patterns
- docs/research/ - Research reports
- docs/user-guide*/ - User documentation (4 languages)
- docs/reference/ - Reference materials
- docs/getting-started/ - Quick start guides
- docs/agents/ - Agent-specific guides
- docs/testing/ - Test procedures

**Result**:
- Eliminated redundancy after Root Documents consolidation
- Preserved all valuable content in PLANNING.md, TASK.md, KNOWLEDGE.md
- Maintained user-facing documentation structure

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: relocate PM modules to commands/modules

- Move modules to superclaude/commands/modules/
- Organize command-specific modules under commands/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: add self-improvement loop with 4 root documents

Implements Self-Improvement Loop based on Cursor's proven patterns:

**New Root Documents**:
- PLANNING.md: Architecture, design principles, 10 absolute rules
- TASK.md: Current tasks with priority (🔴🟡🟢)
- KNOWLEDGE.md: Accumulated insights, best practices, failures
- README.md: Updated with developer documentation links

**Key Features**:
- Session Start Protocol: Read docs → Git status → Token budget → Ready
- Evidence-Based Development: No guessing, always verify
- Parallel Execution Default: Wave → Checkpoint → Wave pattern
- Mac Environment Protection: Docker-first, no host pollution
- Failure Pattern Learning: Past mistakes become prevention rules

**Cleanup**:
- Removed: docs/memory/checkpoint.json, current_plan.json (migrated to TASK.md)
- Enhanced: setup/components/commands.py (module discovery)

**Benefits**:
- LLM reads rules at session start → consistent quality
- Past failures documented → no repeats
- Progressive knowledge accumulation → continuous improvement
- 3.5x faster execution with parallel patterns

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* test: validate Self-Improvement Loop workflow

Tested complete cycle: Read docs → Extract rules → Execute task → Update docs

Test Results:
- Session Start Protocol:  All 6 steps successful
- Rule Extraction:  10/10 absolute rules identified from PLANNING.md
- Task Identification:  Next tasks identified from TASK.md
- Knowledge Application:  Failure patterns accessed from KNOWLEDGE.md
- Documentation Update:  TASK.md and KNOWLEDGE.md updated with completed work
- Confidence Score: 95% (exceeds 70% threshold)

Proved Self-Improvement Loop closes: Execute → Learn → Update → Improve

* refactor: responsibility-driven component architecture

Rename components to reflect their responsibilities:
- framework_docs.py → knowledge_base.py (KnowledgeBaseComponent)
- modes.py → behavior_modes.py (BehaviorModesComponent)
- agents.py → agent_personas.py (AgentPersonasComponent)
- commands.py → slash_commands.py (SlashCommandsComponent)
- mcp.py → mcp_integration.py (MCPIntegrationComponent)

Each component now clearly documents its responsibility:
- knowledge_base: Framework knowledge initialization
- behavior_modes: Execution mode definitions
- agent_personas: AI agent personality definitions
- slash_commands: CLI command registration
- mcp_integration: External tool integration

Benefits:
- Self-documenting architecture
- Clear responsibility boundaries
- Easy to navigate and extend
- Scalable for future hierarchical organization

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: add project-specific CLAUDE.md with UV rules

- Document UV as required Python package manager
- Add common operations and integration examples
- Document project structure and component architecture
- Provide development workflow guidelines

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: resolve installation failures after framework_docs rename

## Problems Fixed
1. **Syntax errors**: Duplicate docstrings in all component files (line 1)
2. **Dependency mismatch**: Stale framework_docs references after rename to knowledge_base

## Changes
- Fix docstring format in all component files (behavior_modes, agent_personas, slash_commands, mcp_integration)
- Update all dependency references: framework_docs → knowledge_base
- Update component registration calls in knowledge_base.py (5 locations)
- Update install.py files in both setup/ and superclaude/ (5 locations total)
- Fix documentation links in README-ja.md and README-zh.md

## Verification
 All components load successfully without syntax errors
 Dependency resolution works correctly
 Installation completes in 0.5s with all validations passing
 make dev succeeds

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: add automated README translation workflow

## New Features
- **Auto-translation workflow** using GPT-Translate
- Automatically translates README.md to Chinese (ZH) and Japanese (JA)
- Triggers on README.md changes to master/main branches
- Cost-effective: ~¥90/month for typical usage

## Implementation Details
- Uses OpenAI GPT-4 for high-quality translations
- GitHub Actions integration with gpt-translate@v1.1.11
- Secure API key management via GitHub Secrets
- Automatic commit and PR creation on translation updates

## Files Added
- `.github/workflows/translation-sync.yml` - Auto-translation workflow
- `docs/Development/translation-workflow.md` - Setup guide and documentation

## Setup Required
Add `OPENAI_API_KEY` to GitHub repository secrets to enable auto-translation.

## Benefits
- 🤖 Automated translation on every README update
- 💰 Low cost (~$0.06 per translation)
- 🛡️ Secure API key storage
- 🔄 Consistent translation quality across languages

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix(mcp): update airis-mcp-gateway URL to correct organization

Fixes #440

## Problem
Code referenced non-existent `oraios/airis-mcp-gateway` repository,
causing MCP installation to fail completely.

## Root Cause
- Repository was moved to organization: `agiletec-inc/airis-mcp-gateway`
- Old reference `oraios/airis-mcp-gateway` no longer exists
- Users reported "not a python/uv module" error

## Changes
- Update install_command URL: oraios → agiletec-inc
- Update run_command URL: oraios → agiletec-inc
- Location: setup/components/mcp_integration.py lines 37-38

## Verification
 Correct URL now references active repository
 MCP installation will succeed with proper organization
 No other code references oraios/airis-mcp-gateway

## Related Issues
- Fixes #440 (Airis-mcp-gateway url has changed)
- Related to #442 (MCP update issues)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: replace cloud translation with local Neural CLI

## Changes

### Removed (OpenAI-dependent)
-  `.github/workflows/translation-sync.yml` - GPT-Translate workflow
-  `docs/Development/translation-workflow.md` - OpenAI setup docs

### Added (Local Ollama-based)
-  `Makefile`: New `make translate` target using Neural CLI
-  `docs/Development/translation-guide.md` - Neural CLI guide

## Benefits

**Before (GPT-Translate)**:
- 💰 Monthly cost: ~¥90 (OpenAI API)
- 🔑 Requires API key setup
- 🌐 Data sent to external API
- ⏱️ Network latency

**After (Neural CLI)**:
-  **$0 cost** - Fully local execution
-  **No API keys** - Zero setup friction
-  **Privacy** - No external data transfer
-  **Fast** - ~1-2 min per README
-  **Offline capable** - Works without internet

## Technical Details

**Neural CLI**:
- Built in Rust with Tauri
- Uses Ollama + qwen2.5:3b model
- Binary size: 4.0MB
- Auto-installs to ~/.local/bin/

**Usage**:
```bash
make translate  # Translates README.md → README-zh.md, README-ja.md
```

## Requirements

- Ollama installed: `curl -fsSL https://ollama.com/install.sh | sh`
- Model downloaded: `ollama pull qwen2.5:3b`
- Neural CLI built: `cd ~/github/neural/src-tauri && cargo build --bin neural-cli --release`

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-18 20:28:10 +05:30

252 lines
5.3 KiB
Markdown

---
name: pm-formatter
description: PM Agent status output formatting with actionable structure
category: module
---
# PM Formatter Module
**Purpose**: Format PM Agent status output with maximum clarity and actionability
## Output Structure
```yaml
Line 1: Branch indicator
Format: 📍 [branch-name]
Source: git-status module
Line 2: Workspace status
Format: [symbol] [description]
Source: git-status module
Line 3: Token usage
Format: 🧠 [%] ([used]K/[total]K) · [remaining]K avail
Source: token-counter module
Line 4: Ready actions
Format: 🎯 Ready: [comma-separated-actions]
Source: Static list based on context
```
## Complete Output Template
```
📍 [branch-name]
[status-symbol] [status-description]
🧠 [%] ([used]K/[total]K) · [remaining]K avail
🎯 Ready: [comma-separated-actions]
```
## Symbol System
```yaml
Branch:
📍 - Current branch indicator
Status:
✅ - Clean workspace (green light)
⚠️ - Uncommitted changes (caution)
🔴 - Conflicts detected (critical)
Resources:
🧠 - Token usage/cognitive load
Actions:
🎯 - Ready actions/next steps
```
## Ready Actions Selection
```yaml
Always Available:
- Implementation
- Research
- Analysis
- Planning
- Testing
Conditional:
Documentation:
Condition: Documentation files present
Debugging:
Condition: Errors or failures detected
Refactoring:
Condition: Code quality improvements needed
Review:
Condition: Changes ready for review
```
## Formatting Rules
```yaml
Conciseness:
- One line per component
- No explanations
- No prose
- Symbol-first communication
Actionability:
- Always end with Ready actions
- User knows what they can request
- No "How can I help?" questions
Clarity:
- Symbols convey meaning instantly
- Numbers are formatted consistently
- Status is unambiguous
```
## Examples
### Example 1: Clean Workspace
```
📍 main
✅ Clean workspace
🧠 28% (57K/200K) · 142K avail
🎯 Ready: Implementation, Research, Analysis, Planning, Testing
```
### Example 2: Uncommitted Changes
```
📍 refactor/docs-core-split
⚠️ Uncommitted changes (2M, 3 untracked)
🧠 30% (60K/200K) · 140K avail
🎯 Ready: Implementation, Research, Analysis
```
### Example 3: Conflicts
```
📍 feature/new-auth
🔴 Conflicts detected (1 file)
🧠 15% (30K/200K) · 170K avail
🎯 Ready: Debugging, Analysis
```
### Example 4: High Token Usage
```
📍 develop
✅ Clean workspace
🧠 87% (174K/200K) · 26K avail
🎯 Ready: Testing, Documentation
```
## Integration Logic
```yaml
Step 1 - Gather Components:
branch = git-status module → branch name
status = git-status module → symbol + description
tokens = token-counter module → formatted string
actions = ready-actions logic → comma-separated list
Step 2 - Assemble Output:
line1 = "📍 " + branch
line2 = status
line3 = "🧠 " + tokens
line4 = "🎯 Ready: " + actions
Step 3 - Display:
Print all 4 lines
No additional commentary
No "How can I help?"
```
## Context-Aware Action Selection
```yaml
Token Budget Awareness:
IF tokens < 25%:
→ All actions available
IF tokens 25-75%:
→ Standard actions (Implementation, Research, Analysis)
IF tokens > 75%:
→ Lightweight actions only (Testing, Documentation)
Workspace State Awareness:
IF conflicts detected:
→ Debugging, Analysis only
IF uncommitted changes:
→ Reduce action list (exclude Planning)
IF clean workspace:
→ All actions available
```
## Anti-Patterns (FORBIDDEN)
```yaml
❌ Verbose Explanations:
"You are on the refactor/docs-core-split branch which has..."
# WRONG - too much prose
❌ Asking Questions:
"What would you like to work on?"
# WRONG - user knows from Ready list
❌ Status Elaboration:
"⚠️ You have uncommitted changes which means you should..."
# WRONG - symbols are self-explanatory
❌ Token Warnings:
"🧠 87% - Be careful, you're running low on tokens!"
# WRONG - user can see the percentage
✅ Clean Format:
📍 branch
✅ status
🧠 tokens
🎯 Ready: actions
# CORRECT - concise, actionable
```
## Validation
```yaml
Self-Check Questions:
❓ Is the output exactly 4 lines?
❓ Are all symbols present and correct?
❓ Are numbers formatted consistently (K format)?
❓ Is the Ready list appropriate for context?
❓ Did I avoid explanations and questions?
Format Test:
Count lines: Should be exactly 4
Check symbols: 📍, [status], 🧠, 🎯
Verify: No extra text beyond the template
```
## Adaptive Formatting
```yaml
Minimal Mode (when token budget is tight):
📍 [branch] | [status] | 🧠 [%] | 🎯 [actions]
# Single-line format, same information
Standard Mode (normal operation):
📍 [branch]
[status-symbol] [status-description]
🧠 [%] ([used]K/[total]K) · [remaining]K avail
🎯 Ready: [comma-separated-actions]
# Four-line format, maximum clarity
Trigger for Minimal Mode:
IF tokens > 85%:
→ Use single-line format
ELSE:
→ Use standard four-line format
```
## Integration Points
**Used by**:
- `commands/pm.md` - Session start output
- `agents/pm-agent.md` - Status reporting
- Any command requiring PM status display
**Dependencies**:
- `modules/token-counter.md` - Token calculation
- `modules/git-status.md` - Git state detection
- System context - Token notifications, git repository