- Transform tufte-press from reference guide to conversation-aware generator - Add JSON generation from conversation context following strict schema - Create build automation scripts with Nix environment handling - Integrate CUPS printing with duplex support - Add comprehensive workflow documentation Scripts added: - skills/tufte-press/scripts/generate-and-build.sh (242 lines) - skills/tufte-press/scripts/build-card.sh (23 lines) Documentation: - Updated SKILL.md with complete workflow instructions (370 lines) - Updated README.md with usage examples (340 lines) - Created SKILL-DEVELOPMENT-STRATEGY-tufte-press.md (450 lines) - Added worklog: 2025-11-10-tufte-press-skill-evolution.org Features: - Agent generates valid JSON from conversation - Schema validation before build (catches errors early) - Automatic Nix shell entry for dependencies - PDF build via tufte-press toolchain - Optional print with duplex support - Self-contained margin notes enforced - Complete end-to-end testing Workflow: Conversation → JSON → Validate → Build → Print Related: niri-window-capture, screenshot-latest, worklog skills
339 lines
9.5 KiB
Markdown
339 lines
9.5 KiB
Markdown
# Approach Comparison: Our Plan vs Gemini's Analysis
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**Context**: Both teams independently analyzed the skills deployment strategy
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**Result**: Strong agreement on core approach (flake inputs)
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**Differences**: Minor implementation details
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## Core Agreement ✅
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Both teams recommend **Flake Inputs** as primary pattern:
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| Principle | Our Analysis | Gemini's Analysis | Status |
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|-----------|--------------|-------------------|--------|
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| Single source of truth | ✅ Skills repo is canonical | ✅ Both ops-dev and dotfiles reference skills | **Aligned** |
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| Declarative updates | ✅ `nix flake lock --update-input skills` | ✅ Not manual copying | **Aligned** |
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| Reproducible builds | ✅ flake.lock pins commits | ✅ flake.lock for identical builds | **Aligned** |
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| Selective inclusion | ✅ Choose skills via config | ✅ Choose only needed skills | **Aligned** |
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| Version control | ✅ Clear dependency graph | ✅ Clear dependency graph in Nix | **Aligned** |
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## Implementation Differences
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### 1. Flake Input URL
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**Gemini's Recommendation**:
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```nix
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skills.url = "path:../skills"; # For local dev
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```
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**Our Initial Recommendation**:
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```nix
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skills.url = "git+http://192.168.1.108:3000/dan/skills.git";
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```
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**Analysis**:
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- **Gemini's `path:` approach**:
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- ✅ Offline-friendly (no network needed)
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- ✅ Fast for local development
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- ✅ Direct filesystem access
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- ⚠️ Requires skills repo to be checked out locally
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- ⚠️ Path must exist where flake is evaluated
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- **Our `git+http:` approach**:
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- ✅ Works for remote deployments
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- ✅ Explicit version in flake.lock (commit hash)
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- ✅ Can be used from anywhere with network
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- ⚠️ Requires network on first fetch
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- ℹ️ Cached in /nix/store, then works offline
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**Verdict**: **Both are correct** - use based on context
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**Recommended Strategy**:
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```nix
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# For local development machine (where skills repo is checked out)
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skills.url = "path:/home/dan/proj/skills";
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# For remote VMs (deployed via git)
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skills.url = "git+http://192.168.1.108:3000/dan/skills.git";
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# Can override at build time:
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# nix build --override-input skills path:../skills
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```
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**Update our docs**: Support both, document when to use each ✅ (Done)
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### 2. Deployment Method
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**Gemini's Approach**:
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```nix
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let
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devSkills = with skills.packages.${pkgs.system}; [
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worklog
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tufte-press
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];
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skillsDir = pkgs.symlinkJoin {
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name = "dev-vm-skills";
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paths = devSkills;
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};
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in {
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environment.etc."opencode/skills".source = skillsDir;
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environment.etc."claude/skills".source = skillsDir;
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}
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```
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**Our Approach**:
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```nix
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imports = [ inputs.skills.nixosModules.ai-skills ];
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services.ai-skills = {
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enable = true;
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selectedSkills = [ "worklog" "tufte-press" ];
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deployTargets = [ "claude" "opencode" ];
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};
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```
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**Comparison**:
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| Aspect | Gemini (Direct) | Us (Module) |
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|--------|-----------------|-------------|
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| Lines of code | ~15 lines inline | ~6 lines config |
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| Abstraction | Explicit, visible | Hidden in module |
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| Reusability | Copy-paste to each project | Import once, use everywhere |
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| User home symlinks | Must add manually | Handled automatically |
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| Permissions | Must handle manually | Module handles it |
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| opencode-skills plugin | Not included | Module installs it |
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| Flexibility | Full control | Options-based control |
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| Learning curve | Shows how it works | Must understand module |
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**Analysis**:
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- **Gemini's approach is excellent for**:
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- Learning how Nix works
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- Simple, one-off deployments
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- Full visibility into mechanism
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- No "magic" abstractions
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- **Our module is excellent for**:
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- Consistent pattern across multiple systems
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- Reducing boilerplate
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- Additional features (plugin installation)
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- Maintenance (fix once, affects all users)
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**Verdict**: **Both are valid**
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**Recommendation**:
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- **Use Gemini's direct approach** when:
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- Learning Nix
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- One-off setup
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- Want full control
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- Don't need our module's extra features
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- **Use our ai-skills module** when:
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- Multiple systems to manage
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- Want consistency
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- Need opencode-skills plugin
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- Prefer declarative options
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- **Hybrid** (recommended):
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```nix
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# Use Gemini's path: suggestion + our module
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inputs.skills.url = "path:/home/dan/proj/skills";
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imports = [ inputs.skills.nixosModules.ai-skills ];
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services.ai-skills.enable = true;
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```
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### 3. Skill Selection Pattern
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**Gemini**:
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```nix
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devSkills = with skills.packages.${pkgs.system}; [
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worklog
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tufte-press
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];
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```
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**Us** (via module):
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```nix
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services.ai-skills.selectedSkills = [ "worklog" "tufte-press" ];
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```
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**Behind the scenes our module does**:
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```nix
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# modules/ai-skills.nix (simplified)
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let
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selectedPackages = map (name: skills.packages.${pkgs.system}.${name})
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cfg.selectedSkills;
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skillsDir = pkgs.symlinkJoin {
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name = "ai-skills";
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paths = selectedPackages;
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};
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in {
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environment.etc."opencode/skills".source = skillsDir;
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# ... etc
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}
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```
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**Analysis**: Same underlying mechanism, different interface
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**Verdict**: **Equivalent implementations** ✅
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### 4. Network Dependency Handling
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**Gemini's Explanation**:
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> "Self-contained" = "reproducible without live network," not "never had network"
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> - Once fetched to /nix/store, rebuilds work offline
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> - Use `nix flake prefetch` after updates to cache dependencies
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**Our Understanding**: Identical
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**Gemini's Additional Tip**:
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```bash
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nix flake prefetch
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```
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**Analysis**: This is excellent advice we should add to our docs
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**Action**: Update migration guide with prefetch tip ✅
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## What Gemini's Analysis Adds
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### 1. Clear Network Dependency Explanation
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Gemini explicitly addresses the "does it need network?" concern:
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- First fetch requires network
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- Subsequent builds work offline (from /nix/store)
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- Standard Nix behavior, not a problem
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- Use `prefetch` for predictable caching
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**Action**: Add this clarification to our docs ✅
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### 2. Practical Implementation Plan
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Gemini provides concrete steps:
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1. Add skills as flake input: `skills.url = "path:../skills"`
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2. Select needed skills: `devSkills = [ worklog tufte-press ]`
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3. Build combined skills dir: `skillsDir = pkgs.symlinkJoin`
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4. Update environment.etc to use skillsDir
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5. Delete copied ./skills directory from git
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**Analysis**: This is essentially our migration guide, slightly different order
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**Verdict**: Both plans are equivalent ✅
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### 3. Encouragement to Use Same Pattern for Dotfiles
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Gemini notes:
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> Apply the same approach to ~/proj/dotfiles for consistency.
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**Analysis**: Excellent point - we should document this pattern as general-purpose
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**Action**: Note in docs that this pattern works for any Nix flake ✅
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## Combined Recommendation
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### Use This Approach (Best of Both)
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**1. Flake Input** (Gemini's path suggestion):
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```nix
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inputs.skills = {
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url = "path:/home/dan/proj/skills"; # Local dev, offline-friendly
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inputs.nixpkgs.follows = "nixpkgs";
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};
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```
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**2. Deployment** (Our module for convenience):
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```nix
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imports = [ inputs.skills.nixosModules.ai-skills ];
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services.ai-skills = {
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enable = true;
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selectedSkills = [ "worklog" "tufte-press" ];
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deployTargets = [ "claude" "opencode" ];
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};
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```
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**3. Alternative** (Gemini's direct approach if module not needed):
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```nix
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let
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skillsDir = pkgs.symlinkJoin {
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name = "ops-dev-skills";
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paths = with inputs.skills.packages.${pkgs.system}; [
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worklog tufte-press
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];
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};
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in {
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environment.etc."opencode/skills".source = skillsDir;
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environment.etc."claude/skills".source = skillsDir;
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}
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```
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**4. Caching** (Gemini's tip):
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```bash
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nix flake prefetch # Pre-cache dependencies for offline work
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```
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## What to Document
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### Updates to Our Documentation
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1. **Migration guide** ✅ (Done)
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- Add `path:` vs `git+http:` comparison
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- Explain when to use each
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- Add `nix flake prefetch` tip
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2. **Best practices** ✅ (Done)
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- Note that both URL types are valid
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- Explain network dependency behavior
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- Document `prefetch` for offline work
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3. **Comparison doc** ✅ (This file)
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- Show Gemini's approach
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- Show our approach
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- Explain trade-offs
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- Recommend hybrid
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4. **Module documentation**
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- Document ai-skills module options
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- Show equivalent manual approach
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- Explain what module does behind the scenes
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## Agreement Summary
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### Strong Agreement ✅
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1. **Use flake inputs** - Single source of truth pattern
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2. **Declarative configuration** - No manual copying
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3. **Version control** - flake.lock for reproducibility
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4. **Selective inclusion** - Choose needed skills
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5. **Network is OK** - Standard Nix behavior, caches to /nix/store
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### Minor Differences (Both Valid)
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1. **URL type**: `path:` vs `git+http:` - Use based on context
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2. **Deployment**: Module vs direct - Use based on needs
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3. **Abstraction level**: High (module) vs low (explicit) - Both work
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### Key Insights from Gemini
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1. **`path:` for local dev** - Simpler, offline-friendly
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2. **Network dependency is fine** - Standard Nix, not a problem
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3. **`nix flake prefetch`** - Proactive caching tip
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4. **Apply pattern everywhere** - Dotfiles, other repos too
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## Conclusion
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**We are in strong agreement** ✅
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Both analyses arrived at the same core solution (flake inputs) independently, which validates the approach. Gemini's analysis adds:
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- Preference for `path:` URLs (good suggestion)
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- Explicit network dependency handling (helpful clarification)
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- Direct implementation approach (valid alternative to our module)
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**Recommendation**:
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- Accept Gemini's implementation plan
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- Use `path:` for local development
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- Keep our ai-skills module as an optional convenience layer
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- Document both approaches
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- Proceed with migration
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**Action**: Implement for ops-dev using hybrid approach (Gemini's `path:` + our module)
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