docs: add worklog for HQ deployment and Codex skills integration
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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title: "HQ Deployment Documentation and Codex Skills Integration"
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date: 2026-01-13
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keywords: [hq, worker-cli, codex, skills-deployment, cross-agent, nix-module, orch-consensus]
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commits: 3
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compression_status: uncompressed
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---
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# Session Summary
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**Date:** 2026-01-13 (Continuation of HQ multi-agent architecture work)
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**Focus Area:** Making HQ deployable, adding Codex support to skills infrastructure
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# Accomplishments
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- [x] Ran orch consensus on HQ architecture - received comprehensive feedback from GPT-5.2
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- [x] Filed orch bug report (orch-d08) for Gemini/OpenRouter model failures
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- [x] Created worker release documentation (`docs/releasing-worker.md`)
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- [x] Created nix package template (`pkgs/worker/default.nix`)
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- [x] Built and released worker v0.1.0 tarball (327KB)
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- [x] Added `hq` and `review-gate` to `skills.nix`
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- [x] Created comprehensive `skills/hq/README.md` deployment guide
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- [x] Updated `skills/hq/SKILL.md` with requirements table and model config
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- [x] Filed dotfiles-u96: Add worker CLI package
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- [x] Filed dotfiles-ha0: Add Codex skills deployment
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- [x] Added `codexSkills` option to ai-skills nix module
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- [x] Added Codex per-repo support to `use-skills.sh`
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- [x] Closed skills-legi: Codex per-repo skills support
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# Key Decisions
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## Decision 1: Binary release distribution (like beads)
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- **Context:** worker CLI is a Nim binary needing distribution for HQ to work
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- **Options considered:**
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1. Build from source in nix flake (requires Nim, lockfile complexity)
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2. Binary releases via git forge (simple, like beads pattern)
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3. Separate worker flake (overkill)
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- **Rationale:** Option 2 matches existing beads pattern, simple to implement
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- **Impact:** Tarball committed to repo, fetchable via git forge raw URL
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## Decision 2: Extend ai-skills module for Codex
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- **Context:** Codex loads skills from `~/.codex/skills/`, not covered by existing module
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- **Options considered:**
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1. Extend ai-skills module with `codexSkills` option
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2. Symlink approach in home-manager
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3. Use Codex's skill-installer
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- **Rationale:** Option 1 keeps consistent pattern with Claude/OpenCode
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- **Impact:** Single config manages all three agent skill deployments
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## Decision 3: Per-repo Codex skills via CODEX_HOME
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- **Context:** `use-skills.sh` deploys to `.claude/skills/` and `.opencode/skills/`
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- **Rationale:** Check for `CODEX_HOME` env var, deploy to `$CODEX_HOME/skills/` if set
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- **Impact:** Users set `export CODEX_HOME="$PWD/.codex"` in .envrc for per-repo Codex skills
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# Problems & Solutions
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| Problem | Solution | Learning |
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|---------|----------|----------|
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| Orch consensus failed for Gemini/OpenRouter models | Filed bug orch-d08; models work via `llm` directly but fail through orch | Issue in async model loading, not API keys |
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| Can't merge integration→master (worktree conflict) | Left on integration branch, documented for later | Beads worktree setup blocks ff-merge |
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| releases/ was gitignored | Un-ignored and committed tarball directly | 327KB small enough for git |
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| No URL for worker binary | Committed to repo, accessible via git forge raw URL | `https://git.clarun.xyz/.../releases/worker_0.1.0_linux_amd64.tar.gz` |
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# Technical Details
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## Code Changes
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- Total files modified: 16
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- Key files changed:
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- `modules/ai-skills.nix` - Added `codexSkills` option and deployment
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- `bin/use-skills.sh` - Added `$CODEX_HOME/skills/` symlink support
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- `skills/hq/SKILL.md` - Model config section, explicit `--model sonnet-4.5`
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- `skills/hq/README.md` - Comprehensive deployment guide
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- `pkgs/worker/default.nix` - Nix package template for worker CLI
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- New files created:
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- `docs/releasing-worker.md` - Build and release process
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- `releases/worker_0.1.0_linux_amd64.tar.gz` - Binary release
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- `skills/hq/README.md` - Deployment documentation
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## Commands Used
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```bash
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# Create release tarball
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tar -czvf "releases/worker_${VERSION}_linux_amd64.tar.gz" \
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-C src worker.out --transform "s/worker.out/worker/"
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# Get SHA256 for nix
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nix hash to-sri sha256:$(sha256sum releases/worker_0.1.0_linux_amd64.tar.gz | cut -d' ' -f1)
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# Result: sha256-Lz+gnjeedjwVV31rcijjQpMguMrBfvSfOUcOyLaFiI8=
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# Clean up stale workers
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worker cancel --taskId=skills-xyz --cleanup --reason="Stale from testing"
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# Orch consensus (GPT worked, Gemini/OpenRouter failed)
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orch consensus "architecture review..." flash gemini gpt --temperature 1.0
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```
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## Architecture Notes
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### HQ Deployment Model
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```
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skills repo provides:
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├── skills/hq/ # Skill files (SKILL.md, templates, scripts)
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├── pkgs/worker/ # Nix package template
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├── releases/ # Binary tarballs
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└── modules/ai-skills.nix # Home-manager module
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dotfiles configures:
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├── pkgs/worker/ # Copy of nix package
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├── home.packages # Install worker globally
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└── services.ai-skills # Deploy skills to ~/.codex/skills/
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```
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### Cross-Agent Skills Flow
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```
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Global skills: nix flake → home-manager → ~/.claude/skills/
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→ ~/.config/opencode/skills/
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→ ~/.codex/skills/ (NEW)
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Per-repo: .skills manifest → direnv → .claude/skills/
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→ .opencode/skills/
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→ $CODEX_HOME/skills/ (NEW)
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```
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# Process and Workflow
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## What Worked Well
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- Orch consensus provided valuable architecture feedback (even with only GPT)
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- Following beads pattern for binary distribution kept things simple
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- Filing issues for dotfiles keeps concerns separated
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- Existing ai-skills module made Codex addition trivial
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## What Was Challenging
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- Orch model failures (Gemini, OpenRouter) - works directly via llm but not through orch
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- Worktree blocking master branch merge
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- Multiple layers of deployment (skills repo → dotfiles → user repos)
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# Learning and Insights
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## Technical Insights
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- `llm` library plugins load correctly but orch's async model loading has issues
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- Codex uses `~/.codex/skills/` (different from Claude/OpenCode patterns)
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- Worker CLI is actually already installed globally via nix profile
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- Tarball in git is fine for small binaries (~300KB)
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## Process Insights
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- Filing issues in downstream repos (dotfiles, orch) keeps separation clean
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- Each repo handles its own concerns - skills provides, dotfiles integrates
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## Architectural Insights
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- Three-tier skill deployment: system (Codex built-in), global (home-manager), per-repo (direnv)
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- Skills are portable across Claude/OpenCode/Codex - same SKILL.md format
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- HQ depends on worker CLI which needs separate installation path
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# Context for Future Work
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## Open Questions
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- How to merge integration→master with worktree conflict?
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- Should orch handle model failures more gracefully?
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- Best practice for worker version updates?
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## Next Steps
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- Dotfiles: Implement dotfiles-u96 (worker CLI package)
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- Dotfiles: Implement dotfiles-ha0 (Codex skills deployment)
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- Merge integration→master once worktree resolved
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- Test full HQ workflow with Codex as orchestrator
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## Related Work
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- Previous: [[file:2026-01-11-hq-architecture-orch-consensus-beads-cleanup.org][HQ Architecture and Orch Consensus]]
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- Previous: [[file:2026-01-11-worker-cli-cleanup-refactors.org][Worker CLI Cleanup]]
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- Issues: dotfiles-u96 (worker package), dotfiles-ha0 (Codex skills), orch-d08 (model failures)
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# Raw Notes
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## Orch Consensus Summary (GPT-5.2)
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Key feedback on HQ architecture:
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- **Support** overall - "Git worktrees + explicit state machine + text-based skills makes the system portable"
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- **Risk:** Split-brain state between SQLite, git, and bd comments
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- **Gap:** Idempotency/crash recovery under-specified
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- **Gap:** Implicit dependencies (same files) not detected
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- **Suggestion:** WIP limit of 3-7 workers, measure review queue time
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- **Suggestion:** Human checkpoints for security/auth, large refactors, >2 request-changes cycles
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## Files Pushed to Git Forge
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Worker binary accessible at:
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```
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https://git.clarun.xyz/dan/skills/raw/branch/master/releases/worker_0.1.0_linux_amd64.tar.gz
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SHA256: sha256-Lz+gnjeedjwVV31rcijjQpMguMrBfvSfOUcOyLaFiI8=
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```
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# Session Metrics
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- Commits made: 3 (on integration branch)
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- Files touched: 16
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- Lines added/removed: +1106/-10
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- Issues filed: 3 (dotfiles-u96, dotfiles-ha0, orch-d08)
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- Issues closed: 1 (skills-legi)
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