Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
Scanned 9/3/2026
Install to Claude Code
npx -y skills add sickn33/agentic-awesome-skills --skill infinite-gratitude --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Infinite Gratitude?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/sickn33-infinite-gratitude-e3240078)More formats (shields.io, HTML) on the badges page.
---
name: infinite-gratitude
description: "Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies)."
risk: safe
source: "https://github.com/sstklen/infinite-gratitude"
date_added: "2026-02-27"
---
# Infinite Gratitude
> **Source**: [sstklen/infinite-gratitude](https://github.com/sstklen/infinite-gratitude)
## Description
A multi-agent research skill designed for parallel research execution. It orchestrates 10 agents to conduct deep research, battle-tested with real case studies.
## When to Use
Use this skill when you need to perform extensive, parallelized research on a topic, leveraging multiple agents to gather and synthesize information more efficiently than a single linear process.
## How to Use
This is an external skill. Please refer to the [official repository](https://github.com/sstklen/infinite-gratitude) for installation and usage instructions.
```bash
git clone https://github.com/sstklen/infinite-gratitude
```
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
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. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.