Before submitting, confirm each item:
Scanned 6/4/2026
Install to Claude Code
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## Skill submission checklist
Before submitting, confirm each item:
### Content
- [ ] Skill lives in `skills/<slug>/SKILL.md` with complete frontmatter (`name`, `description`, `version`, `tools_required`, `writes_to`)
- [ ] `name` in frontmatter matches the directory name (kebab-case)
- [ ] Any deep-dive content is in `references/*.md` and listed under `references:`
- [ ] Skill is registered in `skills/README.md` with its maturity/QA status
- [ ] If a ChatGPT version applies, the paired `gpts/<slug>/` (GPT.md + openapi.yaml) is updated to the same `version`
### Correctness
- [ ] MCP tool names and response field names match the live Chili Piper MCP schema
- [ ] Documented limits (window sizes, pagination) are accurate
- [ ] Read-only vs. write behavior is correctly stated in `writes_to`
### Data safety
- [ ] **No real customer data** — examples use synthetic values only
- [ ] **No credentials, API keys, or tokens** in any file
- [ ] Pre-commit hooks ran locally without errors (`pre-commit run --all-files`)
### QA
- [ ] Skill has been tested against a real tenant (read-only skills) and logged in `docs/QA.md`
- [ ] `version` was bumped if behavior changed
---
**What does this skill do?** *(one sentence)*
**Which Chili Piper MCP tools does it call?**
**Is it read-only or does it write?**
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Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
