opencode-cli
This skill should be used when configuring or using the OpenCode CLI for headless LLM automation. Use when the user asks to "configure opencode", "use opencode cli", "set up opencode", "opencode run command", "opencode model selection", "opencode providers", "opencode vertex ai", "opencode mcp servers", "opencode ollama", "opencode local models", "opencode deepseek", "opencode kimi", "opencode mistral", "fallback cli tool", or "headless llm cli". Covers command syntax, provider configuration, Vertex AI setup, MCP servers, local models, cloud providers, and subprocess integration patterns.
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/opencode_cli/opencode-cli skilz install SpillwaveSolutions/opencode_cli/opencode-cli --agent opencode skilz install SpillwaveSolutions/opencode_cli/opencode-cli --agent codex skilz install SpillwaveSolutions/opencode_cli/opencode-cli --agent gemini
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/opencode_cli cp -r opencode_cli ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- opencode_cli
- Type
- Technical
- Meta-Domain
- cloud infrastructure
- Primary Domain
- terraform
- Market Score
- 84.0
Agent Skill Grade
B
Score: 84/100
Click to see breakdown
Score Breakdown
Areas to Improve
- Reference files are 200-380 lines but lack table of contents for navigation
- Vertex AI section in main file just redirects to reference without adding value
- Occasional second-person pronouns break imperative style
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 opencode_cli skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 84/100, solidly in B territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Progressive Disclosure Architecture (27/30) — the skill is well-structured with focused reference files that don't bloat the main file. Weakest spot is Utility (17/20) — the skill solves a real problem, but the feedback loops and error handling could be tighter.
What's Working Well
- Progressive Disclosure is chef's kiss. You've got 6 focused reference files that delegate responsibility perfectly. SKILL.md stays lean at 195 lines while each reference goes exactly one level deep. That's the right structure.
- Discovery-friendly. Your trigger phrases are solid — "configure opencode", "vertex ai", "mcp servers", "ollama", "local models" — these will actually get Claude to activate the skill when people ask about that stuff.
- Token economy. Minimal redundancy in the main file. You're not repeating yourself across sections, which keeps things efficient.
- Practical examples. The JSON config templates and Python subprocess integration patterns give people real, copy-paste-ready code to work with.
The Big One: Reference Files Need Navigation
Your reference files are 200-380 lines but they're missing tables of contents. cloud-providers.md (351 lines), integration-patterns.md (217 lines) — when someone lands in these files looking for a specific provider or pattern, they're scrolling blind.
The fix: Add a ## Table of Contents section at the top of each reference file with anchor links. Takes 10 minutes, instantly improves usability, and probably gets you +1-2 points toward Ease of Use.
## Table of Contents
- [Anthropic](#anthropic)
- [Google Vertex AI](#google-vertex-ai)
- [OpenAI](#openai)
Other Things Worth Fixing
Duplication in SKILL.md (line 122-124). Your Vertex AI section just says "see vertex-ai-setup.md" — but that's already in your Reference Guides table. Redundant redirect. Delete it and save tokens.
Second-person voice slips. Lines like "you can" creep into
integration-patterns.md. Stick to imperative: "Configure the model" not "You can configure the model." Small thing, but consistency matters.Numbered steps in local-models.md. The Ollama setup is just prose blocks — no clear 1-2-3 workflow. Users want: "1. Install Ollama 2. Start server 3. Pull models 4. Configure OpenCode." That's +2 points right there.
Workflow clarity in references. Your main file has "Quick Start" (4 numbered steps), but reference files lack that structure. Add numbered workflows to
provider-config.mdandmcp-servers.md.
Quick Wins
- Add TOCs to files over 100 lines (+1-2 points)
- Remove redundant Vertex AI redirect in SKILL.md
- Add numbered steps to Ollama setup
- Fix "you can" voice consistency
- Structure cloud-providers.md with sequential steps
Get these done and you're looking at 87-89/100 — A-territory.
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