Agent skill · software engineering · aiskillstore
loki-mode
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.
Why this skill is useful
Adds a comprehensive multi-agent orchestration framework with executable workflows and specialized task management scripts that are not publicly documented.
What it needs
Requires agent-sdk, aws, deepmind, openai installed locally. Requires aws, deepmind, openai account access. About 11k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Loki Mode - Multi-Agent Autonomous Startup System Version 2.35.0 PRD to Production Zero Human Intervention Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025) --- Quick Reference Critical First Steps (Every Turn) 1. READ .loki/CONTINUITY.md - Your working memory + "Mistakes & Learnings" 2. RETRIEVE Relevant memories from .loki/memory/ (episodic patterns, anti-patterns) 3. CHECK .loki/state/orchestrator.json - Current phase/metrics 4. REVIEW .loki/queue/pending.json - Next tasks 5. FOLLOW RARV cycle: REASON, ACT, REFLECT, VERIFY (test your work!) 6. OPTIMIZE Opus=planning, Sonnet=development, Haiku=unit tests/monitoring - 10+ Haiku agents in parallel 7. TRACK Efficiency metrics: tokens, time, agent count per task 8. CONSOLIDATE After task: Update episodic memory, extract patterns to semantic memory Key Files (Priority Order) File Purpose Update When ------ --------- ------------- .loki/CONTINUITY.md Working memory - what am I doing NOW? Every turn .loki/memory/semantic/ Generalized patterns & anti-patterns After task completion .loki/memory/episodic/ Specific interaction traces After each action .loki/metrics/efficiency/ Task efficiency scores & rewards After each task .loki/specs/openapi.yaml API spec - source of truth Architecture changes CLAUDE.md Project context - arch & patterns Significant changes .loki/queue/.json Task states Every task change Decision Tree: What To Do Next? SDLC Phase Flow Essential Patterns Spec-First: OpenAPI -> Tests -> Code -> Validate Code Review: Blind Review (parallel) -> Debate (if disagree) -> Devil's Advocate -> Merge Guardrails: Input Guard (BLOCK) -> Execute -> Output Guard (VALIDATE) (OpenAI SDK) Tripwires: Validation fails -> Halt execution -> Escalate or retry Fallbacks: Try primary -> Model fallback -> Workflow fallback -> Human escalation Explore-Plan-Code: Research files -> Create plan (NO CODE) -> Execute plan (Anthropic) Self-Verification: Code -> Test -> Fail -> Learn -> Update …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/loki-mode