Luma Vision Image Analysis
JochenYang/luma-mcp
Calls an external vision model through vision.js to analyze an image when the user explicitly invokes /skill luma-vision, for agents whose own model cannot see images.
A skill your agent uses when image reading, screenshot analysis, visual diff, design mockup analysis, pasted image handling, or Z.AI Vision MCP fails, times out, returns 429/Too Many Requests, or…
Install Vision Model Retry Policy
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .claude/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .claude/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .agents/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .agents/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .cursor/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .cursor/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/skuramatata/my-pi-agent.git --path .opencode/skills/vision-model-retry-policy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .gemini/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .gemini/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .github/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .github/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install skuramatata/my-pi-agent vision-model-retry-policy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.opencode/skills/vision-model-retry-policy .opencode/skills/vision-model-retry-policy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vision-model-retry-policy" agent skill from https://github.com/skuramatata/my-pi-agent/tree/main/.opencode/skills/vision-model-retry-policy into .opencode/skills/vision-model-retry-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vision-model-retry-policy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
vision-model-retry-policy- GitHub stars
- 114
- Token cost
- ~1k tokens
- SKILL.md length
- 541 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when image reading, screenshot analysis, visual diff, design mockup analysis, pasted image handling, or Z.AI Vision MCP fails, times out, returns 429/Too Many Requests, or…
- Works in 3 steps: Use the configured OpenCode/Z.AI vision… → If zai-vision-mcp is disconnected, run… → If Z.AI vision reaches the retry budget,…
- Screenshot analysis
- SKILL.md covers Current Repository Assumption, Retry Budget, Image Transport Contract and Fallback Order, plus 3 more sections
- Calls opencode; needs ZAI_CODING_CN_API_KEY
What it does
Vision Model Retry Policy is an agent skill from skuramatata/my-pi-agent. Use when image reading, screenshot analysis, visual diff, design mockup analysis, pasted image handling, or Z.AI Vision MCP fails, times out, returns 429/Too Many Requests, or appears stuck in retry.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Computer vision and Visual regression testing. It works with Model Context Protocol and Zhipu GLM.
When your agent uses it
- Screenshot analysis
- Design mockup analysis
- Pasted image handling
- Z.AI Vision MCP fails
Example prompts
- “/vision-model-retry-policy”
Requirements
- A credential in ZAI_CODING_CN_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Use the configured OpenCode/Z.AI vision MCP path first when zai-vision-mcp is connected.
- If zai-vision-mcp is disconnected, run opencode mcp list or inspect OpenCode config before retrying.
- If Z.AI vision reaches the retry budget, stop vision automation and ask for one of
What it can do on your machine
Read from SKILL.md and the folder at commit ed83ff1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
opencode
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ZAI_CODING_CN_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Vision Model Retry Policy loads about 1k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 541 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 541 words (~1,021 tokens).
“Use this skill to prevent image recognition work from getting trapped in repeated provider retries or broken attachment transport.”
- name
- vision-model-retry-policy
Files
Just SKILL.md in .opencode/skills/vision-model-retry-policy of skuramatata/my-pi-agent.
Open the folder on GitHubat commit ed83ff1
Compare with similar skills
Vision Model Retry Policy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vision Model Retry Policy this skillskuramatata/my-pi-agent | 114 | — | ~1k | Automated safety check: Pass | None | |
| Luma Vision Image AnalysisJochenYang/luma-mcp | 116 | — | ~295 | Automated safety check: Pass | MIT | |
| Pi AgentK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Chorus Openspec AwareChorus-AIDLC/Chorus | 1.2k | — | ~6.8k | Automated safety check: Pass | AGPL-3.0 | |
| Openspec AwareChorus-AIDLC/Chorus | 1.2k | — | ~7.2k | Automated safety check: Pass | AGPL-3.0 | |
| Openspec AwareChorus-AIDLC/Chorus | 1.2k | — | ~7.3k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
Pi Agent
K-Dense-AI/scientific-agent-skills
Builds with and operates Pi, the minimal terminal coding harness.
Chorus Openspec Aware
Chorus-AIDLC/Chorus
OpenSpec-mode authoring for Chorus PM workflows in Kiro CLI.
Openspec Aware
Chorus-AIDLC/Chorus
OpenSpec-mode authoring for Chorus PM workflows in Pi. An agent skill from Chorus-AIDLC/Chorus.
Openspec Aware
Chorus-AIDLC/Chorus
OpenSpec-mode authoring for Chorus PM workflows in Codex. An agent skill from Chorus-AIDLC/Chorus.
Openspec Aware
Chorus-AIDLC/Chorus
OpenSpec-mode authoring for Chorus PM workflows in Claude Code.
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Questions about Vision Model Retry Policy
What does Vision Model Retry Policy do?
A skill your agent uses when image reading, screenshot analysis, visual diff, design mockup analysis, pasted image handling, or Z.AI Vision MCP fails, times out, returns 429/Too Many Requests, or…. Vision Model Retry Policy is an agent skill from skuramatata/my-pi-agent.AI Vision MCP fails, times out, returns 429/Too Many Requests, or appears stuck in retry.
When should I use Vision Model Retry Policy?
Vision Model Retry Policy fits situations like: screenshot analysis; design mockup analysis; pasted image handling; Z.AI Vision MCP fails.
How do I install Vision Model Retry Policy in Claude Code?
Run `npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a claude-code`. Or copy the skill folder (.opencode/skills/vision-model-retry-policy in skuramatata/my-pi-agent) into .claude/skills/vision-model-retry-policy in your project. Claude Code loads it when a task matches its description.
How do I install Vision Model Retry Policy in Codex?
Run `npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a codex`. Or copy the skill folder (.opencode/skills/vision-model-retry-policy in skuramatata/my-pi-agent) into .agents/skills/vision-model-retry-policy in your project. Codex loads it when a task matches its description.
Can I use Vision Model Retry Policy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add skuramatata/my-pi-agent --skill vision-model-retry-policy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vision-model-retry-policy, .gemini/skills/vision-model-retry-policy, .github/skills/vision-model-retry-policy and .opencode/skills/vision-model-retry-policy in your project.
What does Vision Model Retry Policy need to run?
Going by SKILL.md and its folder, Vision Model Retry Policy needs the command-line tools its instructions call (opencode) and credentials named ZAI_CODING_CN_API_KEY. Our summary lists: A credential in ZAI_CODING_CN_API_KEY.
Does Vision Model Retry Policy access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Vision Model Retry Policy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Vision Model Retry Policy use?
No licence was found for Vision Model Retry Policy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Vision Model Retry Policy use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Vision Model Retry Policy?
Skills that share tags, products or a category with Vision Model Retry Policy: Luma Vision Image Analysis (JochenYang/luma-mcp, 116 stars), Pi Agent (K-Dense-AI/scientific-agent-skills, 48k stars), Chorus Openspec Aware (Chorus-AIDLC/Chorus, 1.2k stars) and Openspec Aware (Chorus-AIDLC/Chorus, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vision Model Retry Policy?
skuramatata (a GitHub user) maintains it in skuramatata/my-pi-agent, which has 114 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on July 10, 2026.
Source: skuramatata/my-pi-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.