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loki-mode

8.7

by davila7

132Favorites
259Upvotes
0Downvotes

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

autonomous-agents

8.7

Rating

0

Installs

AI & LLM

Category

Quick Review

Exceptional multi-agent orchestration skill with comprehensive documentation. The SKILL.md provides crystal-clear invocation patterns, detailed decision trees, and extensive references to supporting files. The description is highly actionable with specific triggers ('Loki Mode'), clear prerequisites (--dangerously-skip-permissions flag), and well-defined autonomy rules. Task knowledge is excellent with detailed RARV cycles, model selection strategies, quality gates, and extensive reference documentation covering patterns from OpenAI, DeepMind, Anthropic, and production systems. Structure is outstanding - SKILL.md serves as a concise overview with systematic indexing to 15+ reference files, preventing clutter while maintaining completeness. The skill demonstrates high novelty by orchestrating 100+ specialized agents across the full SDLC from PRD to production with zero human intervention, combining cutting-edge research patterns (Constitutional AI, debate verification, tool orchestration) with battle-tested production practices. The complexity of autonomous startup creation, parallel code review with blind reviewers, distributed task queues, circuit breakers, and memory consolidation represents significant token savings compared to a CLI agent attempting this manually. Minor deduction on novelty as individual patterns (code review, testing, deployment) exist separately, though their integration at this scale is unique.

LLM Signals

Description coverage10
Task knowledge9
Structure10
Novelty8

GitHub Signals

18,239
1,655
133
73
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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Publisher

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davila7

Skill Author

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