ModLens Image Vision Bridge
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
Runs a task through Codex and Gemini CLIs in parallel alongside Claude, then synthesizes the three outputs into one answer with agreements and conflicts called out.
Install CCG Tri-Model Orchestration
$ npx skills add zereight/gitlab-mcp --skill ccg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zereight/gitlab-mcp ccg --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/zereight/gitlab-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/ccg .claude/skills/ccg && 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 "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .claude/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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/zereight/gitlab-mcp/tree/main/.github/skills/ccgType 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 zereight/gitlab-mcp --skill ccg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zereight/gitlab-mcp ccg --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/ccg .agents/skills/ccg && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .agents/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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 zereight/gitlab-mcp --skill ccg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zereight/gitlab-mcp ccg --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/ccg .cursor/skills/ccg && 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 "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .cursor/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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/zereight/gitlab-mcp.git --path .github/skills/ccg--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 zereight/gitlab-mcp --skill ccg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zereight/gitlab-mcp ccg --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/ccg .gemini/skills/ccg && 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 "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .gemini/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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 zereight/gitlab-mcp ccgInstalls 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 zereight/gitlab-mcp --skill ccg -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/ccg .github/skills/ccg && 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 "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .github/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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 zereight/gitlab-mcp --skill ccg -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zereight/gitlab-mcp ccg --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/ccg .opencode/skills/ccg && 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 "ccg" agent skill from https://github.com/zereight/gitlab-mcp/tree/main/.github/skills/ccg into .opencode/skills/ccg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccg", 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
ccg- GitHub stars
- 2k
- Used in
- 1 other repo
- Token cost
- ~657 tokens
- SKILL.md length
- 190 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Runs a task through Codex and Gemini CLIs in parallel alongside Claude, then synthesizes the three outputs into one answer with agreements and conflicts called out.
- Works in 4 steps: Decompose Request → Invoke Advisors → Collect Results → …
- Reviewing a PR from both backend and UX perspectives at once
- SKILL.md covers When to Use, When NOT to Use, Requirements and Execution Protocol, plus 2 more sections
- Calls npm, codex and gemini
What it does
The skill splits a request into a Codex prompt covering architecture, correctness, backend and test strategy, and a Gemini prompt covering UX, content clarity and edge-case usability, running both CLIs in parallel, or through VS Code's model-selection API when available. It is meant for backend-and-frontend requests in one go, multi-perspective code review, and cross-validation where models may disagree, not for simple tasks that should just be executed directly.
Results come back as one synthesis listing what the advisors agreed on, what they conflicted on explicitly, a chosen final direction with its rationale, and an action checklist. If one CLI is unavailable the skill continues with the other plus its own synthesis; if both are unavailable it falls back to a Claude-only answer.
When your agent uses it
- Reviewing a PR from both backend and UX perspectives at once
- Cross-validating a plan when models might disagree
- Getting fast parallel opinions without full multi-agent orchestration
Example prompts
- “ccg review this PR: architecture and security via Codex, UX and readability via Gemini.”
- “Get multiple opinions on this refactor before I commit to it.”
- “Cross-validate my API design with Codex and Gemini and tell me where they disagree.”
Requirements
- Codex CLI (npm install -g @openai/codex)
- Gemini CLI (npm install -g @google/gemini-cli)
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit b4f0d9d. 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:
npmcodexgemini
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
CCG Tri-Model Orchestration loads about 657 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 190 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
The full file from zereight/gitlab-mcp at commit b4f0d9d, republished under its MIT licence (© zereight). 190 words, ~657 tokens.
Download SKILL.mdSave it as
.claude/skills/ccg/SKILL.md (or your agent's skills folder).- name
- ccg
- description
- Claude-Codex-Gemini tri-model orchestration for multi-perspective analysis. Activate when user says: ccg, tri-model, three models, multi-model, cross-validate, get multiple opinions, compare models.
- argument-hint
- <task description>
CCG - Claude-Codex-Gemini Tri-Model Orchestration
Route a task through three AI models in parallel, then synthesize their outputs into one unified answer.
When to Use
- Backend/analysis + frontend/UI work in one request
- Code review from multiple perspectives
- Cross-validation where models may disagree
- Fast parallel input without full team orchestration
When NOT to Use
- Simple, straightforward tasks → execute directly
- Already clear on approach → use
/omg-autopilot - Need coordinated multi-agent work → use
/team
Requirements
- Codex CLI:
npm install -g @openai/codex - Gemini CLI:
npm install -g @google/gemini-cli - If either CLI is unavailable, continue with whichever provider works
Execution Protocol
1. Decompose Request
Split the user request into:
- Codex prompt: architecture, correctness, backend, risks, test strategy
- Gemini prompt: UX/content clarity, alternatives, edge-case usability, docs polish
- Synthesis plan: how to reconcile conflicts
2. Invoke Advisors
Run both advisors via CLI in parallel:
# Run in terminal
codex "<codex prompt>"
gemini "<gemini prompt>"Or via VS Code's selectChatModels() API if available:
Promise.all([
model_openai.sendRequest(codex_prompt),
model_google.sendRequest(gemini_prompt)
])3. Collect Results
Gather outputs from both advisors.
4. Synthesize
Return one unified answer with:
- Agreed recommendations
- Conflicting recommendations (explicitly called out)
- Chosen final direction + rationale
- Action checklist
Fallbacks
| Scenario | Action |
|---|---|
| One provider unavailable | Continue with available + Claude synthesis |
| Both unavailable | Fall back to Claude-only answer |
Example
/ccg Review this PR - architecture/security via Codex and UX/readability via GeminiOutput:
=== CCG Synthesis ===
## Agreed
- Authentication middleware needs rate limiting
- Error messages should be more user-friendly
## Conflicting
- Codex: Use middleware pattern for validation
- Gemini: Use inline validation for simplicity
→ Chosen: Middleware pattern (consistency with existing codebase)
## Action Checklist
- [ ] Add rate limiting middleware
- [ ] Improve error messages in auth flow
- [ ] Extract validation to middleware layer© zereight, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .github/skills/ccg of zereight/gitlab-mcp.
Open the folder on GitHubat commit b4f0d9d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zereight/gitlab-mcp, which our catalogue first saw on October 7, 2026.
Compare with similar skills
CCG Tri-Model Orchestration 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 |
|---|---|---|---|---|---|---|
| CCG Tri-Model Orchestration this skillzereight/gitlab-mcp | 2k | 1 repos | ~657 | Automated safety check: Pass | MIT | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | — | ~1.3k | Automated safety check: Notes | MIT | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| DeepChat Provider IntegrationThinkInAIXYZ/deepchat | 6.4k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Using Ccproxy Inspectorstarbaser/ccproxy | 350 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Using Ccproxy APIstarbaser/ccproxy | 350 | — | ~4k | Automated safety check: Pass | Custom licence |
Similar skills
AI Daily Digest
vigorX777/ai-daily-digest
Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses AI to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category…
DeepChat Provider Integration
ThinkInAIXYZ/deepchat
Guides adding an LLM provider to DeepChat through explicit source changes: collect the provider details, pick a transport path and add registry entries and tests.
Using Ccproxy Inspector
starbaser/ccproxy
Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic.
Using Ccproxy API
starbaser/ccproxy
Guides users through ccproxy as an OpenAI-compatible and Anthropic-compatible LLM API server with SDK integration, OAuth authentication, sentinel key substitution, model routing, and troubleshooting.
Mmsp Python
Prism-Shadow/model-message-stream-protocol
Guidance for using the MMSP Python SDK (mmsp). An agent skill from Prism-Shadow/model-message-stream-protocol.
More from zereight/gitlab-mcp
All 24 skills in this repoOMG Mode Canceller
zereight/gitlab-mcp
Detects which autonomous OMG mode is currently active - Autopilot, Ralph, Ultrawork, UltraQA, Team or Self-Improve - and shuts it down cleanly.
Cross-Language Coding Standards
zereight/gitlab-mcp
Shared reference for naming, function size, complexity and error handling rules that reviewer agents apply across TypeScript, Python, Go, Rust, Java, C# and Swift.
Remember Project Knowledge
zereight/gitlab-mcp
Sorts what you learned in a session into the right memory surface, filtering out ephemeral notes and duplicates before anything is stored.
Pre-Commit Security Scan
zereight/gitlab-mcp
Runs a fast security sweep of recent code changes before a commit or PR, checking for leaked secrets, vulnerable dependencies, unsafe input handling and auth gaps.
Skill Inventory Stocktake
zereight/gitlab-mcp
Audits a project's skill directories for broken frontmatter, missing template sync and quality gaps, then produces a health report of what needs fixing.
OMG Mode Status
zereight/gitlab-mcp
Reports which OMG modes are active, such as autopilot, ralph, team, ultraqa and self-improve, with phase, story or cycle progress read from their state files.
Related
Works with
Categories
Questions about CCG Tri-Model Orchestration
What does CCG Tri-Model Orchestration do?
Runs a task through Codex and Gemini CLIs in parallel alongside Claude, then synthesizes the three outputs into one answer with agreements and conflicts called out. The skill splits a request into a Codex prompt covering architecture, correctness, backend and test strategy, and a Gemini prompt covering UX, content clarity and edge-case usability, running both CLIs in parallel, or through VS Code's model-selection API when available. It is meant for backend-and-frontend requests in one go, multi-perspective code review, and cross-validation where models may disagree, not for simple tasks that should just be executed directly.
When should I use CCG Tri-Model Orchestration?
CCG Tri-Model Orchestration fits situations like: reviewing a PR from both backend and UX perspectives at once; cross-validating a plan when models might disagree; getting fast parallel opinions without full multi-agent orchestration.
How do I install CCG Tri-Model Orchestration in Claude Code?
Run `npx skills add zereight/gitlab-mcp --skill ccg -a claude-code`. Or copy the skill folder (.github/skills/ccg in zereight/gitlab-mcp) into .claude/skills/ccg in your project. Claude Code loads it when a task matches its description.
How do I install CCG Tri-Model Orchestration in Codex?
Run `npx skills add zereight/gitlab-mcp --skill ccg -a codex`. Or copy the skill folder (.github/skills/ccg in zereight/gitlab-mcp) into .agents/skills/ccg in your project. Codex loads it when a task matches its description.
Can I use CCG Tri-Model Orchestration 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 zereight/gitlab-mcp --skill ccg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccg, .gemini/skills/ccg, .github/skills/ccg and .opencode/skills/ccg in your project.
What does CCG Tri-Model Orchestration need to run?
Going by SKILL.md and its folder, CCG Tri-Model Orchestration needs the command-line tools its instructions call (npm, codex and gemini). Our summary lists: Codex CLI (npm install -g @openai/codex); Gemini CLI (npm install -g @google/gemini-cli).
Does CCG Tri-Model Orchestration access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is CCG Tri-Model Orchestration 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 CCG Tri-Model Orchestration use?
CCG Tri-Model Orchestration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does CCG Tri-Model Orchestration use?
About 657 tokens (SKILL.md is roughly 2.6k 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 CCG Tri-Model Orchestration?
Skills that share tags, products or a category with CCG Tri-Model Orchestration: ModLens Image Vision Bridge (liustack/modlens, 4.2k stars), AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars), DeepChat Provider Integration (ThinkInAIXYZ/deepchat, 6.4k stars) and Using Ccproxy Inspector (starbaser/ccproxy, 350 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains CCG Tri-Model Orchestration?
zereight (a GitHub user) maintains it in zereight/gitlab-mcp, which has 2,031 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.
Source: zereight/gitlab-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.