Trellis Session Insight
mindfold-ai/Trellis
Reach into past AI conversation history through the trellis mem CLI.
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions.
Install Multi AI Consultant
$ npx skills add secondsky/claude-skills --skill multi-ai-consultant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install secondsky/claude-skills multi-ai-consultant --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/secondsky/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .claude/skills/multi-ai-consultant && 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 "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .claude/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultantType 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 secondsky/claude-skills --skill multi-ai-consultant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install secondsky/claude-skills multi-ai-consultant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .agents/skills/multi-ai-consultant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .agents/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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 secondsky/claude-skills --skill multi-ai-consultant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install secondsky/claude-skills multi-ai-consultant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .cursor/skills/multi-ai-consultant && 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 "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .cursor/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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/secondsky/claude-skills.git --path plugins/multi-ai-consultant/skills/multi-ai-consultant--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 secondsky/claude-skills --skill multi-ai-consultant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install secondsky/claude-skills multi-ai-consultant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .gemini/skills/multi-ai-consultant && 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 "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .gemini/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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 secondsky/claude-skills multi-ai-consultantInstalls 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 secondsky/claude-skills --skill multi-ai-consultant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .github/skills/multi-ai-consultant && 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 "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .github/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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 secondsky/claude-skills --skill multi-ai-consultant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install secondsky/claude-skills multi-ai-consultant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/multi-ai-consultant/skills/multi-ai-consultant .opencode/skills/multi-ai-consultant && 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 "multi-ai-consultant" agent skill from https://github.com/secondsky/claude-skills/tree/main/plugins/multi-ai-consultant/skills/multi-ai-consultant into .opencode/skills/multi-ai-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-ai-consultant", 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
multi-ai-consultant- GitHub stars
- 227
- Token cost
- ~3.5k tokens
- SKILL.md length
- 1,416 words
- Files
- 12 (incl. scripts, references)
- Skills in repo
- 169
- Repo updated
- First seen
- Licence
- MIT
At a glance
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions.
- Works in 4 steps: After 1 failed debugging attempt → Before architectural decisions → Security changes → …
- Debugging failures
- SKILL.md covers What This Skill Does, When to Use This Skill, The Three AIs and How It Works, plus 11 more sections
- Runs Shell scripts from its folder; calls bun, claude and gemini; needs GEMINI_API_KEY and OPENAI_API_KEY
What it does
Multi AI Consultant is an agent skill from secondsky/claude-skills. Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Use for debugging failures, architectural decisions, security validation, or need fresh perspective with synthesis.
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `examples/sample-consultation.md`, `references/ai-strengths.md` and `references/commands-reference.md`).
It sits in Development. The repository describes itself as: Production-ready skills for Claude Code CLI - Cloudflare, React, Tailwind v4, and AI integrations. The licence is MIT.
When your agent uses it
- Debugging failures
- Architectural decisions
- Security validation
- Need fresh perspective with synthesis
Example prompts
- “/multi-ai-consultant”
Requirements
- A Bash shell
- A credential in GEMINI_API_KEY
- A credential in OPENAI_API_KEY
- Pre-approved tools (allowed-tools): Bash, Read, Task, Write
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- After 1 failed debugging attempt
- Before architectural decisions
- Security changes
- When uncertain
What it can do on your machine
Read from SKILL.md and the folder at commit 8837836. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadTaskWrite
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bunclaudegeminicodexgit
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
platform.openai.comai.google.devaistudio.google.comnpmjs.comopenai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYOPENAI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Multi AI Consultant loads about 3.5k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,416 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:221
e `.geminiignore` for extra exclusions (`.env*`, `*secret*`, `*credentials*`) - NoteMentions a .env fileSKILL.md:262
4. **Privacy leak**: `.env` file sent → Fix: Add to `.gitignore` and `.geminiignore` - NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Task, Write
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); the scripts in this folder are not scanned.
SKILL.md
The full file from secondsky/claude-skills at commit 8837836, republished under its MIT licence (© secondsky). 1,416 words, ~3,534 tokens.
Download SKILL.mdSave it as
.claude/skills/multi-ai-consultant/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- multi-ai-consultant
- description
- Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Use for debugging failures, architectural decisions, security validation, or need fresh perspective with synthesis.
- allowed-tools
- Bash, Read, Task, Write
- license
- MIT
- metadata.version
- 1.0.0
- metadata.author
- Claude Skills Maintainers
- metadata.last-verified
- 2025-11-07
- metadata.production-tested
- true
- metadata.keywords
- ai consultation, second opinion, gemini, openai, codex, debugging, architecture, multi-ai, synthesis, fresh perspective, stuck, web research, thinking mode…
Multi-AI Consultant
Consult external AIs for second opinions when Claude Code is stuck or making critical decisions.
What This Skill Does
This skill enables future Claude Code sessions to consult other AIs when:
- Stuck on a bug after one failed attempt
- Making architectural decisions
- Security concerns need validation
- Fresh perspective needed
Key innovation: Uses existing CLI tools (gemini, codex) instead of building MCP servers - much simpler and more maintainable.
When to Use This Skill
Automatic Triggers (No User Action Needed)
Claude Code should automatically suggest using this skill when:
After 1 failed debugging attempt
- Tried one approach to fix a bug
- Still not working or different error
- → Suggest: "Should I consult [Gemini|Fresh Claude] for a second opinion?"
Before architectural decisions
- Significant design choices (state management, routing, data flow)
- Framework selection
- Database schema design
- → Auto-consult (mention to user): "Consulting Gemini for architectural validation..."
Security changes
- Authentication logic
- Authorization rules
- Cryptography
- Input validation
- → Auto-consult: "Consulting Gemini to verify security approach..."
When uncertain
- Multiple valid approaches
- Trade-offs not clear
- Conflicting advice in documentation
- → Suggest: "Would you like me to consult another AI for additional perspective?"
Manual Invocation (User Commands)
User can explicitly request consultation with:
/consult-gemini [question]- Gemini 2.5 Pro with thinking, search, grounding/consult-codex [question]- OpenAI GPT-4 via Codex CLI (repo-aware)/consult-claude [question]- Fresh Claude subagent (free, fast)/consult-ai [question]- Router that asks which AI to use
The Three AIs
| AI | Tool | When to Use | Special Features | Cost |
|---|---|---|---|---|
| Gemini 2.5 Pro | gemini CLI | Web research, latest docs, thinking | Google Search, extended reasoning, grounding | ~$0.10-0.50 |
| OpenAI GPT-4 | codex CLI | Repo-aware analysis, code review | Auto-scans directory, OpenAI reasoning | ~$0.05-0.30 |
| Fresh Claude | Task tool | Quick second opinion, budget-friendly | Same capabilities, fresh perspective | Free |
For detailed AI comparison: Load references/ai-strengths.md when choosing which AI to consult for specific use cases.
How It Works
Architecture
Claude Code encounters bug/decision
↓
Suggests consultation (or user requests)
↓
User approves
↓
Execute appropriate slash command
↓
CLI command calls external AI
↓
Parse response
↓
Synthesize: Claude's analysis + External AI's analysis
↓
Present 5-part comparison
↓
Ask permission to implementThe 5-Part Synthesis Format
Every consultation must follow this format (prevents parroting):
- 🤖 My Analysis - Claude's original reasoning and attempts
- 💎/🔷/🔄 Other AI's Analysis - External AI's complete response
- 🔍 Key Differences - Agreement, divergence, what each AI caught/missed
- ⚡ Synthesis - Combined perspective, root cause, trade-offs
- ✅ Recommended Action - Specific next steps with file paths/line numbers
End with: "Should I proceed with this approach?"
Setup
For complete installation guide: Load references/setup-guide.md when installing CLIs, configuring API keys, or setting up templates.
Quick setup:
- Install CLIs:
bun add -g @google/generative-ai-cli(Gemini),bun add -g codex(Codex, optional) - Set API keys:
export GEMINI_API_KEY="...",export OPENAI_API_KEY="..." - Install skill: Symlink to
~/.claude/skills/multi-ai-consultant - Copy templates:
GEMINI.md,codex.md,.geminiignoreto project root - Verify:
gemini -p "test",codex exec - --yolo
Get API keys:
Usage
For detailed examples: Load references/usage-examples.md when learning consultation workflows or seeing real-world scenarios.
Quick examples:
- Bug: After 1 failed attempt →
/consult-geminifor web-researched solution - Architecture: Design decision →
/consult-geminifor latest best practices - Code review: Refactoring validation →
/consult-codexfor repo-aware consistency check - Quick opinion: Sanity check →
/consult-claudefor free fresh perspective
5 detailed examples available:
- JWT authentication bug (saved ~30 min, found platform-specific issue)
- State management choice (informed decision with 2025 patterns)
- Refactoring review (found 3 consistency issues)
- Security validation (found 2 critical issues via OWASP 2025)
- Multi-AI workflow (high-stakes database choice)
Slash Commands
For complete command reference: Load references/commands-reference.md when needing detailed syntax, options, or cost tracking information.
Quick command overview:
/consult-gemini [question]
- Use: Web research, latest docs, extended thinking
- Features: Google Search, grounding, thinking mode
- Cost: ~$0.10-0.50
- Example:
/consult-gemini Is this JWT secure by 2025 standards?
/consult-codex [question]
- Use: Repo-aware analysis, code review
- Features: Auto-scans directory, consistency checks
- Cost: ~$0.05-0.30
- Example:
/consult-codex Review for performance bottlenecks
/consult-claude [question]
- Use: Quick second opinion, budget-friendly
- Features: Free, fast, fresh perspective
- Cost: Free
- Example:
/consult-claude Am I missing something obvious?
/consult-ai [question]
- Use: Router (recommends which AI to use)
- Features: Analyzes question, suggests best AI
- Cost: Varies by chosen AI
- Example:
/consult-ai How should we structure this architecture?
Templates
Templates customize AI behavior for consultations (auto-loaded from project root):
- GEMINI.md - System instructions for Gemini (enforces 5-part format, web search)
- codex.md - System instructions for Codex (enforces repo-aware analysis)
- .geminiignore - Privacy exclusions beyond
.gitignore - consultation-log-parser.sh - View consultation history (optional)
Installation: Copy from ~/.claude/skills/multi-ai-consultant/templates/ to project root
Privacy & Security
Automatic protection:
- Both CLIs respect
.gitignoreautomatically - Create
.geminiignorefor extra exclusions (.env*,*secret*,*credentials*) - Pre-consultation check warns if sensitive patterns detected
Privacy best practices:
- Always configure
.gitignoreproperly - Create
.geminiignorefor extra safety - Use smart context selection (specific files, not entire repo)
- Verify what will be sent:
git status --ignored
For detailed privacy configuration: Load references/setup-guide.md when setting up .geminiignore or privacy exclusions.
Cost Tracking
Every consultation logged to ~/.claude/ai-consultations/consultations.log
Log format: timestamp,ai,model,input_tokens,output_tokens,cost,project_path
View logs: consultation-log-parser.sh --summary
Example output:
Total consultations: 47
Gemini: 23 ($4.25), Codex: 12 ($1.85), Fresh Claude: 12 ($0.00)
Total cost: $6.10For detailed cost tracking: Load references/commands-reference.md when viewing logs, calculating costs, or managing budgets.
Common Issues
For complete troubleshooting: Load references/troubleshooting.md when encountering errors or setup issues.
Top 5 issues:
- CLI not installed:
gemini: command not found→ Fix:bun add -g @google/generative-ai-cli - API key invalid: Authentication failed → Fix:
export GEMINI_API_KEY="..." - Context too large: Token limit exceeded → Fix: Use specific files, not entire repo
- Privacy leak:
.envfile sent → Fix: Add to.gitignoreand.geminiignore - Skill not discovered: Not working → Fix: Check
~/.claude/skills/multi-ai-consultant
Show full SKILL.md (550 more words)Show less
Token Efficiency
Without This Skill
Typical scenario (stuck on bug):
- Try approach 1 (~4k tokens)
- Research CLI syntax (~3k tokens)
- Try approach 2 (~4k tokens)
- Research documentation (~3k tokens)
- Try approach 3 (~4k tokens)
Total: ~20k tokens, 30-45 minutes
With This Skill
Same scenario:
- Try approach 1 (~4k tokens)
- Execute
/consult-gemini(~1k tokens) - Gemini finds issue (<5k tokens, billed separately)
- Implement fix (~3k tokens)
Total: ~8k tokens, 5-10 minutes
Savings: ~60% tokens, ~75% time
Success Metrics
Time Efficiency
- Without skill: 30-45 minutes (trial and error)
- With skill: 5-10 minutes (consultation + fix)
- Savings: ~75%
Token Efficiency
- Without skill: ~20k tokens (multiple attempts)
- With skill: ~8k tokens (one consultation)
- Savings: ~60%
Error Prevention
- Manual CLI use: 3-5 common errors (flags, parsing, privacy)
- With skill: 0 errors (all handled by commands)
- Prevention: 100%
Quality
- Manual: Risk of not synthesizing (just copying external AI)
- With skill: Forced synthesis via
GEMINI.md/codex.md - Improvement: Guaranteed value-add
Why CLI Approach (Not MCP)?
| Aspect | MCP Server | CLI Approach |
|---|---|---|
| Setup time | 4-6 hours | 60-75 minutes |
| Complexity | High (MCP protocol) | Low (bash + CLIs) |
| Maintenance | Update MCP SDK | Update CLI (rare) |
| Flexibility | Locked to AIs | Any AI with CLI |
| Debugging | MCP protocol | Standard bash |
| Dependencies | MCP SDK, npm | Just CLIs |
Winner: CLI approach - 80% less effort, same functionality
When to Load References
Load reference files when working on specific aspects of AI consultation:
ai-strengths.md
Load when:
- Selection-based: Choosing which AI to consult (Gemini vs Codex vs Fresh Claude)
- Comparison-based: Understanding capabilities, costs, and trade-offs between AIs
- Strategy-based: Planning combination strategies (free → paid, paid first, budget-conscious)
- Capability-based: Understanding special features (Google Search, extended thinking, grounding, repo-aware, fresh perspective)
- Scenario-based: Multiple AI consultation workflows, validation workflows
setup-guide.md
Load when:
- Installation-based: Setting up Gemini CLI, Codex CLI, or installing the skill
- Configuration-based: Configuring API keys, environment variables, or system paths
- Privacy-based: Setting up .geminiignore, privacy exclusions, or security configurations
- Template-based: Installing GEMINI.md, codex.md, .geminiignore, or consultation-log-parser.sh
- Verification-based: Testing CLI installation, API keys, or skill discovery
commands-reference.md
Load when:
- Command-based: Using /consult-gemini, /consult-codex, /consult-claude, or /consult-ai
- Syntax-based: Understanding command flags, options, or context selection
- Cost-based: Understanding cost tracking, log format, or viewing consultation history
- Logging-based: Using consultation-log-parser.sh or analyzing consultation patterns
usage-examples.md
Load when:
- Scenario-based: Learning how to use skill for bugs, architecture decisions, or code review
- Workflow-based: Understanding consultation workflow, synthesis process, or multi-AI approach
- Example-based: Seeing real-world examples of consultations and their outcomes (5 detailed examples available)
troubleshooting.md
Load when:
- Error-based: Encountering specific errors (command not found, API key invalid, parsing failures)
- Diagnosis-based: Troubleshooting CLI issues, API connectivity, or skill discovery
- Fix-based: Resolving known issues with step-by-step solutions (8 common issues documented)
- Debugging-based: Testing CLIs manually, checking configurations, or verifying installations
Contributing
Found an issue?
- Document it in troubleshooting.md
- Include fix/workaround
- Update slash commands to prevent
Adding new AI?
- Create new slash command:
commands/consult-newai.md - Add to router: Update
commands/consult-ai.md - Create template:
templates/newai.md(if CLI supports system instructions) - Update documentation
Improving synthesis?
- Edit templates:
templates/GEMINI.md,templates/codex.md - Test with real consultations
- Measure before/after quality
References
External Resources
- Gemini CLI: https://ai.google.dev/gemini-api/docs/cli
- OpenAI Codex: https://www.npmjs.com/package/codex
- OpenAI API: https://platform.openai.com/docs
- Gemini API Pricing: https://ai.google.dev/pricing
- OpenAI Pricing: https://openai.com/pricing
Internal Files
- Planning docs:
planning/multi-ai-consultant-*.md - Slash commands:
commands/*.md - Templates:
templates/* - Scripts:
scripts/* - References:
references/*.md(5 reference files)
License
MIT License - See LICENSE file
Last Updated: 2025-11-07 Status: Production Ready Maintainer: Claude Skills Maintainers | maintainers@example.com
© secondsky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 11 other files (scripts, references) in plugins/multi-ai-consultant/skills/multi-ai-consultant of secondsky/claude-skills.
- SKILL.md
- examples/sample-consultation.md
- references/ai-strengths.md
- references/commands-reference.md
- references/setup-guide.md
- references/troubleshooting.md
- references/usage-examples.md
- scripts/setup-apis.sh
- templates/.geminiignore
- templates/GEMINI.md
- templates/codex.md
- templates/consultation-log-parser.sh
Open the folder on GitHubat commit 8837836
Compare with similar skills
Multi AI Consultant 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 |
|---|---|---|---|---|---|---|
| Multi AI Consultant this skillsecondsky/claude-skills | 227 | — | ~3.5k | Automated safety check: Notes | MIT | |
| Trellis Session Insightmindfold-ai/Trellis | 15k | 4 repos | ~1.7k | Automated safety check: Pass | AGPL-3.0 | |
| Openspec Verify ChangeFission-AI/OpenSpec | 71k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Warp Factory Fileswarpdotdev/warp | 65k | 1 repos | ~2.5k | Automated safety check: Pass | AGPL-3.0 | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| Analyze Logsactivepieces/activepieces | 25k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
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Warp Factory Files
warpdotdev/warp
Authors and edits file-based Warp software factory definitions rooted at factory.yaml, covering agents, automations, scorers and webhooks, and validates them before a pull request.
Migrate Core Code to Submodules
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
Analyze Logs
activepieces/activepieces
Analyze application logs from the .evlog/logs/ directory. An agent skill from activepieces/activepieces.
- Official
GitHub Review Iteration
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
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Questions about Multi AI Consultant
What does Multi AI Consultant do?
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Multi AI Consultant is an agent skill from secondsky/claude-skills.5 Pro, OpenAI Codex, Claude) for second opinions.
When should I use Multi AI Consultant?
Multi AI Consultant fits situations like: debugging failures; architectural decisions; security validation; need fresh perspective with synthesis.
How do I install Multi AI Consultant in Claude Code?
Run `npx skills add secondsky/claude-skills --skill multi-ai-consultant -a claude-code`. Or copy the skill folder (plugins/multi-ai-consultant/skills/multi-ai-consultant in secondsky/claude-skills) into .claude/skills/multi-ai-consultant in your project. Claude Code loads it when a task matches its description.
How do I install Multi AI Consultant in Codex?
Run `npx skills add secondsky/claude-skills --skill multi-ai-consultant -a codex`. Or copy the skill folder (plugins/multi-ai-consultant/skills/multi-ai-consultant in secondsky/claude-skills) into .agents/skills/multi-ai-consultant in your project. Codex loads it when a task matches its description.
Can I use Multi AI Consultant 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 secondsky/claude-skills --skill multi-ai-consultant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-ai-consultant, .gemini/skills/multi-ai-consultant, .github/skills/multi-ai-consultant and .opencode/skills/multi-ai-consultant in your project.
What does Multi AI Consultant need to run?
Going by SKILL.md and its folder, Multi AI Consultant needs a shell for the scripts in its folder, the command-line tools its instructions call (bun, claude, gemini, codex and git) and credentials named GEMINI_API_KEY and OPENAI_API_KEY. Our summary lists: A Bash shell; A credential in GEMINI_API_KEY; A credential in OPENAI_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Task, Write.
Does Multi AI Consultant access the network?
SKILL.md names 5 domains. As links in the text: platform.openai.com, ai.google.dev, aistudio.google.com, npmjs.com and openai.com. This is read from the text; nothing was executed.
Is Multi AI Consultant safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Multi AI Consultant use?
Multi AI Consultant is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Multi AI Consultant use?
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.
What are the alternatives to Multi AI Consultant?
Skills that share tags, products or a category with Multi AI Consultant: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Openspec Verify Change (Fission-AI/OpenSpec, 71k stars), Warp Factory Files (warpdotdev/warp, 65k stars) and Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi AI Consultant?
secondsky (a GitHub user) maintains it in secondsky/claude-skills, which has 227 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 28, 2026.
Source: secondsky/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.