# Del Taiseiozaki Claude Code Orchestra Checkpointing > Checkpointing — Full Session Recording and Pattern Discovery - Skill: `tomevault-io/del-taiseiozaki-claude-code-orchestra-checkpointing` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/del-taiseiozaki-claude-code-orchestra-checkpointing` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/del-taiseiozaki-claude-code-orchestra-checkpointing/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/del-taiseiozaki-claude-code-orchestra-checkpointing --- # Checkpointing — Full Session Recording and Pattern Discovery **Record all session activity and discover reusable patterns. Run everything, every time.** ## What It Does (Every Time) ``` /checkpointing ↓ ┌─────────────────────────────────────────────────────────────┐ │ 1. Collect Everything │ │ ├── git log (commits, file changes, line stats) │ │ ├── CLI logs (Codex/Gemini consultations) │ │ ├── Agent Teams activity (tasks, teammates, messages) │ │ └── Design decisions (.claude/docs/DESIGN.md changes) │ │ │ │ 2. Generate Checkpoint │ │ → .claude/checkpoints/YYYY-MM-DD-HHMMSS.md │ │ │ │ 3. Update Session History │ │ → CLAUDE.md (cross-session persistence) │ │ │ │ 4. Discover Skill Patterns │ │ → Subagent analyzes checkpoint │ │ → Suggests reusable skills │ │ → User reviews and approves │ └─────────────────────────────────────────────────────────────┘ ``` ## Usage ```bash # Everything. No flags needed. /checkpointing # Optional: only look at recent work /checkpointing --since "2026-02-08" ``` ## What Gets Captured ### Git Activity - Commits (hash, message, date) - File changes (created, modified, deleted + line counts) - Branch information ### CLI Consultations - Codex consultations (prompt, success/failure) - Gemini multimodal tasks (prompt, success/failure) ### Agent Teams Activity - Team composition (Lead + Teammates, roles) - Shared task list state (completed, in-progress, pending) - File ownership per teammate - Communication patterns (who messaged whom, about what) - Team effectiveness signals (tasks completed vs stuck, file conflicts) ### Teammate Work Logs - Each Teammate's work log from `.claude/logs/agent-teams/{team-name}/{teammate}.md` - Contains: Summary, Tasks Completed, Files Modified, Key Decisions, Communication with Teammates, Issues Encountered - Written by each Teammate upon completing all assigned tasks - Only present when Agent Teams were used (`/startproject`, `/team-implement`, `/team-review`) ### Design Decisions - Changes to `.claude/docs/DESIGN.md` since last checkpoint - New entries in Key Decisions table ## Checkpoint Format ```markdown # Checkpoint: 2026-02-08 15:30:00 UTC ## Summary - **Commits**: 12 - **Files changed**: 15 (10 modified, 4 created, 1 deleted) - **Codex consultations**: 3 - **Gemini multimodal**: 2 - **Agent Teams sessions**: 1 (3 teammates) - **Tasks completed**: 8/10 ## Git History ### Commits - `abc1234` feat: redesign startproject for Opus 4.6 - `def5678` feat: add team-implement skill ... ### File Changes **Created:** - `.claude/skills/team-implement/SKILL.md` (+180) ... **Modified:** - `CLAUDE.md` (+40, -25) ... ## CLI Consultations ### Codex (3 consultations) - ✓ Design: Architecture for Agent Teams integration - ✓ Debug: Task dependency resolution - ✗ Review: (timeout) ### Gemini (2 multimodal tasks) - ✓ Extract: API spec from design document PDF - ✓ Analyze: Architecture diagram from whiteboard photo ## Agent Teams Activity ### Team: project-planning **Composition:** - Lead: Claude (orchestration) - Researcher: Opus-powered (external research) - Architect: Codex-powered (design decisions) **Task List:** - [x] Research library options (Researcher) - [x] Design module architecture (Architect) - [x] Validate API constraints (Researcher) - [x] Finalize implementation plan (Architect) **Communication Patterns:** - Researcher → Architect: 3 messages (library constraints) - Architect → Researcher: 2 messages (additional research requests) **Effectiveness:** - All tasks completed - No file conflicts - 2 design iterations triggered by research findings ## Teammate Work Logs ### Team: project-planning #### researcher *Source: `.claude/logs/agent-teams/project-planning/researcher.md`* # Work Log: Researcher ## Summary Researched httpx library constraints and API patterns for the new API client module. ## Tasks Completed - [x] Research libraries: httpx supports HTTP/2 via h2 dependency - [x] Find documentation: httpx connection pool defaults to 100 ## Communication with Teammates - → Architect: httpx connection pool limit of 100, HTTP/2 requires h2 - ← Architect: Requested HTTP/2 multiplexing research #### architect *Source: `.claude/logs/agent-teams/project-planning/architect.md`* # Work Log: Architect ## Summary Designed API client module architecture with HTTP/2 support. ## Design Decisions - Use httpx[http2] for multiplexed connections: reduces latency for parallel requests ## Codex Consultations - Connection pool sizing strategy: Codex recommended dynamic pool based on load ## Communication with Teammates - → Researcher: Request HTTP/2 multiplexing research - ← Researcher: httpx supports HTTP/2 via h2 ## Design Decisions (New) - Agent Teams for Research ↔ Design (bidirectional) - Gemini specialized for multimodal processing only ## Skill Pattern Suggestions ### Pattern 1: Research-Design Iteration (Confidence: 0.85) **Evidence:** Researcher and Architect exchanged findings 5 times, each exchange refined the design. This back-and-forth is a repeatable pattern. **Suggested skill:** Already captured as /startproject Phase 2. ### Pattern 2: Parallel File-Isolated Implementation (Confidence: 0.75) **Evidence:** 3 implementers worked on separate modules with zero conflicts. Module boundaries were defined by directory ownership. **Suggested skill:** Already captured as /team-implement. --- *Generated by checkpointing skill* ``` ## Session History Update Each checkpoint also appends a concise summary to CLAUDE.md: ```markdown ## Session History ### 2026-02-08 - 12 commits, 15 files changed - Codex: 3 consultations (design, debug, review) - Gemini: 2 multimodal tasks (PDF extraction, diagram analysis) - Agent Teams: 1 session (3 teammates, 8/10 tasks completed) - New skills: /team-implement, /team-review - Key decisions: Agent Teams for parallel work, Gemini role narrowed ``` This persists across sessions — new sessions load CLAUDE.md and see what happened before. ## Skill Pattern Discovery The checkpoint is automatically analyzed to find reusable patterns: **What it looks for:** - Sequences of commits forming logical workflows - File change patterns (e.g., test + implementation together) - CLI consultation sequences (research → design → implement) - Agent Teams coordination patterns (team composition, task sizing) - Multi-step operations that could be templated **Output:** Skill suggestions with confidence scores. High-confidence patterns (>= 0.8) that don't match existing skills are presented to the user for approval. ## Execution Flow ``` /checkpointing │ ├─ 1. Run checkpoint.py (collects git + CLI + teams data) │ → Generates .claude/checkpoints/YYYY-MM-DD-HHMMSS.md │ ├─ 2. Update CLAUDE.md with session summary │ └─ 3. Spawn subagent for skill pattern analysis → Reads checkpoint file → Identifies reusable patterns → Reports suggestions to user → User approves → new skills created in .claude/skills/ ``` ## When to Run | Timing | Why | |--------|-----| | Before session ends | Record all activity, hand off to next session | | After `/team-implement` completes | Capture team activity patterns | | After `/team-review` completes | Capture review patterns | | After major design decisions | Persist the decision context | | When you notice recurring patterns | Opportunity to discover new skills | ## Notes - Checkpoints accumulate in `.claude/checkpoints/` (already in `.gitignore`) - Log files themselves are not modified (read-only) - Skill suggestions must always be reviewed by the user before adoption - Agent Teams data is collected from `~/.claude/teams/` and `~/.claude/tasks/` --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/del-taiseiozaki) — claim your Tome and manage your conversions.