Search Results for "usage" | AgentCC

model-usage

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

recent-data

Guide for using Recent Data (topics, resources, pages). Use when working with recently accessed items, implementing recent lists, or accessing session store recent data. Triggers on recent data usage or implementation tasks.

debug

Debug package usage guide. Use when adding debug logging, understanding log namespaces, or implementing debugging features. Triggers on debug logging requests or logging implementation.

add-provider-doc

Guide for adding new AI provider documentation. Use when adding documentation for a new AI provider (like OpenAI, Anthropic, etc.), including usage docs, environment variables, Docker config, and image resources. Triggers on provider documentation tasks.

drizzle

Drizzle ORM schema and database guide. Use when working with database schemas (src/database/schemas/*), defining tables, creating migrations, or database model code. Triggers on Drizzle schema definition, database migrations, or ORM usage questions.

write-unit-tests

Writing unit and integration tests for the tldraw SDK. Use when creating new tests, adding test coverage, or fixing failing tests in packages/editor or packages/tldraw. Covers Vitest patterns, TestEditor usage, and test file organization.

tidb-test-guidelines

Decide where to place TiDB tests and how to write them (basic structure, naming, testdata usage). Use when asked about test locations, writing conventions, shard_count limits, casetest categorization, or when reviewing test changes in code review.

shellcheck-configuration

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

railway-metrics

Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

RailwayMetricsMonitoring+5

draw-io

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

nowait-reasoning-optimizer

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.

llm-provider-usage-statistics

Reference guide for token counting and prefix caching across LLM providers (OpenAI, Anthropic, Gemini). Use when debugging token counts or optimizing prefix caching.

shellcheck-configuration

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

fal-platform

Platform APIs for model management, pricing, and usage tracking

seo-keyword-strategist

Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.

AgentDB Performance Optimization

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

proxychains

Auto-detect network issues and force proxy usage with proxychains4. Use this skill when encountering connection timeouts, DNS failures, or blocked network access. Default proxy is http://127.0.0.1:9910

context-compression

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

context-fundamentals

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

defuddle

Extract clean Markdown content from web pages using the Defuddle CLI, removing clutter and navigation to reduce token usage. Use this instead of WebFetch when a user provides a URL to read or analyze—ideal for online documentation, articles, blog posts, and other standard web pages.

docs-components

Comprehensive MDX component patterns (Note, Pitfall, DeepDive, Recipes, etc.) for all documentation types. Authoritative source for component usage, examples, and heading conventions.

react-expert

Use when researching React APIs or concepts for documentation. Use when you need authoritative usage examples, caveats, warnings, or errors for a React feature.

byethrow

Reference the byethrow documentation to understand and use the Result type library for error handling in JavaScript/TypeScript. Access detailed API references, practical usage examples, and best practice guides.

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

generate-component-story

Create story examples for components. Use when writing stories, creating examples, or demonstrating component usage.

learn-about-omc

Learn about your OMC usage patterns and get personalized recommendations

agent-session-monitor

Real-time agent conversation monitoring - monitors Higress access logs, aggregates conversations by session, tracks token usage. Supports web interface for viewing complete conversation history and costs. Use when users ask about current session token consumption, conversation history, or cost statistics.

kimi-cli-help

Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.

epic-ui-guidelines

Guide on UI/UX guidelines, accessibility, and component usage for Epic Stack

postgres-pro

Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.

spending-analysis

Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.

half-clone

Clone the latter half of the current conversation, discarding earlier context to reduce token usage while preserving recent work.

ciso-assistant-basic-risk-assessment

Guide users through a basic risk assessment workflow in CISO Assistant, from asset identification to scenario creation. Use when: (1) User wants to start a risk assessment from scratch (2) User mentions "risk assessment", "identify risks", "threat scenarios", or "risk register" (3) User asks about qualitative vs quantitative risk approaches (4) User needs help identifying assets, threats, or creating risk scenarios Covers: risk approach selection (qualitative/quantitative), organizational context gathering, asset identification (primary/supporting), threat catalog usage, scenario generation from threat-asset combinations, risk assessment/study creation.

tldr-stats

Show full session token usage, costs, TLDR savings, and hook activity

implement

Start implementation of a GitHub issue. Usage: /implement #123 or /implement <issue-url>

unit-testing

TencentBlueKing

Unit testing writing guide, covering JUnit5/MockK usage, testing naming conventions, mocking techniques, testing coverage requirements, and TDD practices. This is used when users write unit tests, mock dependencies, improve testing coverage, or engage in test-driven development.

utility-components

TencentBlueKing

A guide to utility components covering the usage of tool classes for specific functions such as JWT security authentication, expression parsers, thread pool looping tools, and the chain of responsibility pattern. It is used when users need to implement JWT authentication, parse expressions, use thread pools, or implement a chain of responsibility.

worktrunk

Guidance for Worktrunk, a CLI tool for managing git worktrees. Covers configuration (user config at ~/.config/worktrunk/config.toml and project hooks at .config/wt.toml), usage, and troubleshooting. Use for "setting up commit message generation", "configuring hooks", "automating tasks", or general worktrunk questions.

1k-cross-platform

Cross-platform development patterns — platform-specific code (.native.ts/.web.ts/.desktop.ts/.ext.ts) and platformEnv usage.

senior-prompt-engineer

This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.

swift-concurrency-expert

Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file.

swiftui-view-refactor

Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.

swiftui-performance-audit

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

swiftui-liquid-glass

Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.

packages-documentation

Write, update, and format docs for public APIs - API reference, README, docstrings, usage examples, migration guides, deprecation notices

swiftui-view-refactor

Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.

swiftui-performance-audit

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.