Hosted-gateway LLM router — save 84% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across 88 models from OpenAI, Anthropic, Google, DeepSeek, xAI, Z.AI, and more. 7 free open-weight models included. Also exposes realtime market data…
Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or…
Use when Codex work should route bounded implementation to lower-cost workers and reserve Sol for risky plan review or final evidence gates, or when installing or validating this workflow.
A coaching tool that finds habits in past coding-agent conversations that waste tokens, the text units used to process requests and responses, and suggests ways to reduce that waste.
Initiate the orchestrator-worker cost model for this session. The main-loop model (expensive, metered) orchestrates, specs, verifies, and validates only; ALL drafting and mechanical work (code, docs, tests, sweeps, research) runs in Opus 4.8 subagents billed to plan allowance. Invoke at session start or whenever token…
Shorthand-first communication mode for token reduction w/ better readability than caveman mode. Compresses resps through consistent abbreviations, symbolic links, and dropped filler while keeping technical precision and exact literals. Use when user says "steno mode", "shorthand mode", "compressed resps", "token…
Judgment-layer review of Claude Code token usage. Use when the user asks to audit token costs, review Claude Code spending, check context waste, or interpret a tokenscope report. Runs the tokenscope profiler, then interprets its findings with knowledge of the project's actual workflow — separating mechanical waste…
Audit and optimize Databricks account, workspace, SQL warehouse, Apps, Jobs, pipeline, and service-principal costs. Use when investigating a Databricks cost spike, explaining DBU or list-cost drivers, identifying expensive users or workloads, proposing fast savings, assessing the workloads and user impacts of changes…
Analyze your OpenClaw API spend — total cost, cost last 7 days, top cost leaks by model and provider, and concrete steps to reduce your bill. Use when the user asks about their AI spending, costs, budget, or which models are costing the most.
Maximum-savings variant of eco - the same frugality rules with a tighter reply budget, for routine chores (rename, small fix, quick lookup, boilerplate). Prefer plain eco for hard or high-stakes work. Works in any language.
Use this skill whenever you are about to read from, write to, query, or modify a Firestore database. LintBase gives you ground-truth schema context (real field names, types, presence rates) directly from production documents so you never hallucinate field names or create schema drift. Trigger automatically when the…
When the Frugal MCP server is connected (tools prefixed frugal), prefer its routed equivalents over native built-in tools. Frugal routes each call to a provider per the operator's routing policy (cheapest-first by default, with automatic failover) and surfaces the provider and cost in the response, so the routing…
Delegate bounded coding work to a Codex worker, including an explicitly configured alternate model/provider through the official Codex SDK and App Server, or diagnose worker readiness. Use when the user asks to delegate, use a worker/custom model/provider, steer or interrupt delegated work, or run Ferry doctor. Do not…
Analyzes AWS networking and data transfer costs across public IPv4 addresses, NAT Gateway, Transit Gateway, VPC peering, PrivateLink interface endpoints, inter-AZ, inter-region, and internet egress. Identifies top cost drivers, surfaces VPC endpoint savings opportunities, and guides progressive investigation using…
Homer L6 — Sleep-time routing weight tuner. Mines Brain's decisions.jsonl + advisorcalls.jsonl, computes tier / model / guardrail distributions, and proposes routingmanifest.toml weight adjustments based on observed data. Aurora PROPOSES; the user decides. No auto-apply. Sacred Rule.
Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or…
Use the delegate MCP tool to offload replaceable grunt work (boilerplate code, mechanical refactors, formatting, translation, summarizing long documents) to cheap models, so you keep your premium tokens for judgment work. Trigger whenever a subtask is mechanical, well-specified, and doesn't need your full reasoning.
LLM cost consulting — estimate what any LLM API call or agent workflow will cost across candidate models (Claude, GPT, Gemini, local Ollama), recommend the cheapest model that clears the task's capability bar, and render the comparison as a Mermaid diagram. Use this skill whenever the user asks what a prompt / agent…
Everything In Its Right Place. The universal post-work organizer. After any significant work session, EIIRP runs a 7-phase audit: (1) inventory every output, (2) walk taxonomy to decide where each lands, (3) check schema-pack consistency against the brain's actual shape, (4) file enriched brain pages, (5) audit the…
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: