LLM cost and token optimization

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

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

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

Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement.

rohitg00/pro-workflow

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

Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

ruvnet/ruflo

Analyze token usage patterns and recommend cost optimizations with estimated savings

ruvnet/ruflo

Generate a cost report showing token usage and USD costs by agent and model

ruvnet/ruflo

Single-shot programmatic dump of all cost data — total spend, per-tier, top session, budget status, federation aggregate.

ruvnet/ruflo

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

ruvnet/ruflo

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

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

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

SethGammon/Citadel

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

A skill your agent uses when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval…

alirezarezvani/claude-skills

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

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

aAAaqwq/AGI-Super-Team

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

Execute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance.

jeremylongshore/tons-of-skills-marketplace

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

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

alirezarezvani/claude-skills

Standardized cost-estimation framework for greatcto plans. An agent skill from avelikiy/great_cto.

avelikiy/great_cto

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

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

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

Analyze markdown files for token efficiency and reduce context-window bloat.

Azure/azure-sdk-tools

Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (astype, scorecurrentspan, shouldexportspan, LangfuseMedia), and drift detection.

yonatangross/orchestkit