architect-agent
Coordinates planning, delegation, and evaluation across architect and code agent workspaces. Use when asked to "write instructions for code agent", "initialize architect workspace", "grade code agent work", "send instructions", or "verify code agent setup".
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/architect-agent/architect-agent skilz install SpillwaveSolutions/architect-agent/architect-agent --agent opencode skilz install SpillwaveSolutions/architect-agent/architect-agent --agent codex skilz install SpillwaveSolutions/architect-agent/architect-agent --agent gemini
First time? Install Skilz: pip install skilz
Works with 22+ AI coding agents
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/architect-agent cp -r architect-agent ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
Related Agentic Skills
project-memory
by SpillwaveSolutionsSet up and maintain a structured project memory system in docs/project_notes/ that tracks bugs with solutions, architectural decisions, key project fa...
postgresql-table-design
by MicrockDesign a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
cloudflare-agents
by jezweb| Build AI agents with Cloudflare Agents SDK on Workers + Durable Objects. Includes critical guidance on choosing between Agents SDK (infrastructure/s...
shopify-app-dev
by MicrockCustom Shopify app development using Shopify CLI, app architecture, OAuth authentication, app extensions, admin UI, Hydrogen/Remix frameworks, and dep...
Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- architect-agent
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- schema query
- Market Score
- 93.0
Agent Skill Grade
A
Score: 93/100
Click to see breakdown
Score Breakdown
Areas to Improve
- Intent Classification and Decision Tree tables contain overlapping information, wasting tokens
- No quick input/output examples showing what instructions or grades look like
- Workflow guides use 'you' and 'your' instead of imperative form
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 1/18/2026
Developer Feedback
I took a look at your architect-agent skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 93/100, which puts you solidly in A territory. This evaluation is based on Anthropic's skill best practices. Your strongest area is Spec Compliance (15/15) — your YAML frontmatter is solid and naming conventions are perfect. The weakest spot is Utility (18/20), mostly because you're missing some quick-reference examples that would make onboarding faster.
What's Working Well
- Progressive Disclosure Architecture is textbook — The 216-line SKILL.md routing to 33 reference files, 4 workflow guides, and 43 templates is exactly how PDA should work. You're not dumping everything upfront; you're layering information strategically.
- Trigger phrases are comprehensive — You've got 8+ specific action phrases ("plan multi-agent work", "delegate to code agents", "grade implementations") that make your skill actually discoverable. The "DO NOT Trigger For" section prevents false positives too, which is smart.
- Terminology is locked in — "architect/code agent", "instructions/human instructions", "grades" — you're consistent throughout, which matters way more than it sounds for maintainability.
The Big One: Redundant Routing Tables
Your Intent Classification and Decision Tree tables in SKILL.md are basically saying the same thing twice. You've got overlapping mappings between user phrases and actions, which wastes tokens and confuses users about which table to actually use.
Merge them into a single Decision Tree with three columns: Intent, Pre-condition, and Action. Instead of checking two tables, users check one. You'd drop maybe 15-20 lines of text and gain clarity. This alone could bump you to +2 points on PDA.
Other Things Worth Fixing
No inline examples in SKILL.md — You point to references for everything, but a 3-5 line abbreviated example of what an instruction header or grade looks like would be huge for onboarding. Users shouldn't have to dig into a 300+ line reference file to see what you're talking about. (+1 point potential)
Second-person voice in workflow guides — Your guides use "you" and "your" instead of imperative form. Rephrase to "After approval:" or "Suggest workspace initialization:" to match the rest of your skill's voice. It's subtle but consistent. (+1 point)
Missing TOCs in large references — Files like
instruction_structure.md(551 lines) don't have a table of contents at the top. For anything over 100 lines, add a linked TOC so people can jump to sections. Navigation matters when files get that long.
Quick Wins
- Merge the routing tables in SKILL.md (biggest bang for buck)
- Add one inline example showing instruction format or grade structure
- Audit workflow guides for second-person language and convert to imperative
- Add TOCs to references over 100 lines
You're already at 93 — these tweaks would get you to 96+ without major rework.
Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that install skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.
AI-Detected Topics
Extracted using NLP analysis
Browse Category
More general Agentic SkillsReport Security Issue
Found a security vulnerability in this agent skill?