Best LLM cost and token optimization skills, page 4

Ranked symbol map of a codebase within a token budget — a compact "what matters in this repo" before reading files.

AnastasiyaW/codex-claude-code-config

Master the four operations of context engineering — Write, Select, Compress, Isolate.

rohitg00/pro-workflow

A skill your agent uses when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill…

borghei/Claude-Skills

Send images, audio, video, or documents into an AG2 beta Agent alongside text.

ag2ai/build-with-ag2

Investigate LLM spend in PostHog — total cost over time, cost by model, provider, user, trace, or custom dimension, token and cache-hit economics, and cost regressions.

PostHog/posthog

Configure and optimize .geminiignore files for AI context window efficiency and token cost reduction (FinOps).

sickn33/agentic-awesome-skills

Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies.

sickn33/agentic-awesome-skills

Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking.

sickn33/agentic-awesome-skills

Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.

sickn33/agentic-awesome-skills

Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.

sickn33/agentic-awesome-skills

A skill your agent uses for debugging DSPy programs, inspecthistory, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.

OmidZamani/dspy-skills

ローカルのコスト追跡データベースからClaude Codeのトークン使用量、支出、予算を追跡・レポートします。コスト、支出、使用量、トークン、予算、またはプロジェクト、ツール、セッション、日付によるコスト内訳について質問する場合に使用します。

affaan-m/ECC

回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth"…

affaan-m/ECC

在回答前，为用户提供关于消耗多少响应深度的知情选择。当用户明确希望控制响应长度、深度或令牌预算时使用此技能。触发条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed…

affaan-m/ECC

Use proactively whenever LLM API costs come up -- or should.

alirezarezvani/claude-skills

Claude Code workflow mastery for .NET developers. An agent skill from codewithmukesh/dotnet-claude-kit.

codewithmukesh/dotnet-claude-kit

Analyze the most expensive users in AI observability and explain why they cost so much.

PostHog/posthog

A skill your agent uses when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG).

alirezarezvani/claude-skills

OpenCode doesn't set promptcachekey for Mistral models, missing the documented 10% cached-token discount.

OnlyTerp/prompt-cache-skills

Read accumulated cost-tracking spend + budget config, compute utilization, emit 50/75/90/100% alert ladder

ruvnet/ruflo

Burn-rate trend over time with optional drift-alert exit code.

ruvnet/ruflo

Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace

ruvnet/ruflo

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.

majiayu000/claude-skill-registry

Intercept the response flow to offer the user a choice about response depth before Claude answers Offers the user an informed choice about how much response depth to consume before answering.

aAAaqwq/AGI-Super-Team

Structural codebase index generator. An agent skill from SethGammon/Citadel.

SethGammon/Citadel

Analyze and reduce LLM spend: read usage breakdowns by call site, model, and inference profile, understand single-winner profile resolution, and pin call sites to managed profiles (Balanced /…

vellum-ai/vellum-assistant

Monitor and optimize LLM costs using Langfuse analytics and dashboards.

jeremylongshore/tons-of-skills-marketplace

When agent sessions generate millions of tokens of conversation history, compression becomes mandatory.

aiskillstore/marketplace

Calculate and display the cost of an Output SDK workflow execution run.

growthxai/output

Guide to the providerOptions structure in .prompt files — decision tree for where an option goes, common mistakes, per-provider quick reference, and Anthropic prompt caching.

growthxai/output

Anthropic Claude API patterns for Python and TypeScript. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

A skill your agent uses when the user asks about usage analytics, statistics, token usage, or cost summary — e.g.

tombelieber/claude-view

Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost

ruvnet/ruflo

A skill your agent uses when the user says 'token optimization', 'save tokens', 'context window', 'reduce tokens', 'token stack', or 'TokenStack', or asks about extending context window capacity.

cwinvestments/memstack

[omh] Context window or token budget at risk: plan compact context, token/cost budgets, summarization checkpoints, and overflow recovery before long agent work.

rlaope/oh-my-hermes

Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and multi-provider fallbacks.

LeoYeAI/openclaw-master-skills

Apply Sun Tzu's Art of War to AI agent orchestration. An agent skill from LeoYeAI/openclaw-master-skills.

LeoYeAI/openclaw-master-skills

Builds generative AI applications on Amazon Bedrock. An agent skill from aws/agent-toolkit-for-aws.

aws/agent-toolkit-for-aws

This skill should be used when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt token usage", "compare model pricing", or "reduce LLM API costs".

borghei/Claude-Skills

Query and analyze a Dynatrace tenant's ACTUAL billing and usage data with DQL against dt.system.events — DPS consumption breakdown, cost-normalized spend ranking, included volume deduction…

Dynatrace/dynatrace-for-ai

[omh] Tracking cost, tokens, latency, or service health: prepare an operations command-board for wrapper-safe token, cost, latency, run history, queue, failure-mode, external metric-provider, and…

rlaope/oh-my-hermes

[omh] Software slowness, memory leaks, or cost spikes: find where a system is actually slow, leaking, or expensive across runtime, memory, token cost, storage, rendering, inference, CI, and query…

rlaope/oh-my-hermes

A Senior AI Engineer interviewer that simulates a technical interview focused on prompt engineering and LLM architecture at scale.

PrepLabsAI/InterviewMentor

Runs a comprehensive 11-section health check on local OpenClaw installations.

LeoYeAI/openclaw-master-skills

Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching.

majiayu000/claude-skill-registry

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation)

majiayu000/claude-skill-registry

A skill your agent uses when a complex task will span turns or sessions and needs structured working notes to survive context compression or handoff; short single-turn work does not trigger it.

Peiiii/nextclaw

Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling…

getsentry/sentry-for-ai