filtering-event-datasets
Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean logic, and limit for sampling results. Does NOT cover aggregation (see aggregating-event-datasets skill).
subquery-patterns-and-union
Use OPAL subquery syntax (@labels) and union operations to combine multiple datasets or time periods. Essential for period-over-period comparisons, multi-dataset analysis, and complex data transformations. Covers @label <- @ syntax, timeshift for temporal shifts, union for combining results, and any_not_null() for collapsing grouped data.
analyzing-tdigest-metrics
Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine pattern with align + m_tdigest() + tdigest_combine + aggregate. For simple metrics (counts, averages), see aggregating-gauge-metrics skill.
aggregating-event-datasets
Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count, sum, avg, percentile), and topk for top N results. Returns single summary row per group across entire time range. For time-series trends, see time-series-analysis skill.
field-extraction-parsing
Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSONPath for navigating parsed structures. Use when you need to convert raw log text into queryable fields for analysis, filtering, or aggregation.
analyzing-text-patterns
Extract and analyze recurring patterns from log messages, span names, and event names using punctuation-based template discovery. Use when you need to understand log diversity, identify common message structures, detect unusual formats, or prepare for log parser development. Works by removing variable content and preserving structural markers.
analyzing-apm-data
Monitor application performance using the RED methodology (Rate, Errors, Duration) with Observe. Use when analyzing service health, investigating errors, tracking latency, or building APM dashboards. Covers when to use metrics vs spans, combining RED signals, and troubleshooting workflows. Cross-references working-with-intervals, aggregating-gauge-metrics, and analyzing-tdigest-metrics skills.
aggregating-gauge-metrics
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.
detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier detection (Z-score, IQR), threshold-based alerts, rate-of-change detection with window functions, and moving average baselines. Choose pattern based on data distribution and anomaly type.
window-functions-deep-dive
Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing rows to neighbors, ranking within partitions, calculating rate of change, or computing time-based moving windows. CRITICAL - OPAL uses window() function wrapper, NOT SQL OVER clause.
time-series-analysis
Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, bin duration options (1h, 5m, 1d), options(bins:N) for controlling bin count, and understanding temporal output columns (_c_valid_from, _c_valid_to, _c_bucket). Returns multiple rows per group for time-series visualization. For single summaries, see aggregating-event-datasets skill.
working-with-intervals
Work with Interval datasets (time-bounded data) using OPAL. Use when analyzing data with start and end timestamps like distributed traces, batch jobs, or CI/CD pipeline runs. Covers duration calculations, temporal filtering, and aggregating by time properties. Intervals are immutable completed activities with two timestamps, distinct from Events (single timestamp) and Resources (mutable state).
working-with-reference-tables
Work with Reference Tables (static CSV lookup data) using OPAL to enrich datasets with descriptive information. Use when you need to map IDs to human-readable names, add static metadata from CSV uploads, or perform lookups without temporal considerations. Covers both explicit and implicit lookup patterns, column name matching, and when to choose Reference Tables vs Resources vs Correlation Tags.
working-with-resources
Work with Resource datasets (mutable state tracking) using OPAL temporal joins. Use when you need to enrich Events/Intervals with contextual state information, track resource state changes over time, or navigate between datasets using temporal relationships. Covers temporal join mechanics (lookup, join, follow), automatic field matching, and when to use Resources vs Reference Tables.
calculate
Perform basic arithmetic operations.
get_weather
Get the current weather for a specific location.
docusaurus-expert
Build fast, SEO-optimized static sites with Docusaurus v3.9.2 using Markdown/MDX, SEO metadata, and plugins. Helps with setup, docs, SEO optimization, plugin integration, and GitHub Pages deployment.
workflow-methodology
Core development methodology for claude-flow. Enforces TDD (test-first), systematic debugging (4-phase), and verification gates. Use when starting any development task, fixing bugs, or completing features.
hello-world
A greeting skill that ONLY generates simple hello/greeting messages. NOT for calculations, data processing, or code execution. Use ONLY for greeting requests like "say hello", "greet someone", or similar.
dotfiles
Manage dotfiles configuration with bidirectional sync between local environment and ~/.dotfiles repository. Understand the automation script, configuration structure, and common commands.
firefox-bookmarks
Analyze Firefox bookmarks and tags directly from the places.sqlite database. Extract recent bookmarks, analyze tag popularity, find bookmark statistics, and explore bookmark metadata. Use when working with Firefox bookmarks, analyzing bookmark usage, organizing tags, or extracting bookmark data from Firefox profiles.
notes-archive
Create and access notes in date-based archive. Create notes with auto-incremented IDs, generate daily todos with task rollover, find latest notes by type (note/todo/backlog/weekly), search by ID/slug/tags/content.
z-tools
Review GitHub pull requests with Jira context using local `prdump`, `jiradump`, and `gh` tools. Use when a user asks for a PR review by providing a PR URL and Jira ticket URL(s), or when a PR description references Jira IDs/URLs that should be pulled for additional context.
circleci
Fetch CircleCI CI status, test failures, and job logs for a GitHub PR. Use when checking if a PR passed CI, fetching test errors, or investigating CI failures.
gemini-image-generator
Generate, edit, or transform images with Gemini Nano Banana using bundled Python scripts (Flash or Pro) including aspect ratio, resolution, image-to-image edits, logo overlays, and reference images. Use when users request image generation, image edits, image-to-image transformations, logo placement, or specific aspect ratios or resolutions.
feedmob-campaign-creator
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install-civitai-videoflow-bundle
Automatically installs and validates the Civitai Videoflow skill bundle from the civitai-agent-skills repository. Supports git clone or manual zip upload, runs npx skills add in dependency-safe order, and guides environment and tool prerequisite checks for CIVITAI_RECORDS_DATABASE_URL, DUOMI_API_TOKEN, IMAGEKIT_PRIVATE_KEY, and CIVITAI_ACCOUNT. Use when: user needs videoflow setup, install Civitai pipeline skills, configure image-to-video workflow, enable Civitai publish pipeline, or when civitai-videoflow and related worker skills are mentioned but unavailable. Triggers: install videoflow skills, setup civitai skills bundle, configure civitai-agent-skills, enable videoflow commands, install duomi/civitai pipeline skills.
install-weekly-hubspot-report-bundle
Automatically installs and configures weekly-hubspot-report and weekly-hubspot-report-pipeline skills from feedmob-skills repository. Supports git clone or manual zip upload, runs npx skills add commands, and guides environment variable setup for FEMINI_API_TOKEN, FEEDAI_API_TOKEN, and AWS credentials. Use when: user needs HubSpot reporting, install HubSpot skills, generate weekly ticket reports, configure report pipeline, or when weekly-hubspot-report* skills are mentioned but not available. Triggers: install HubSpot skills, setup HubSpot reporting, HubSpot weekly report, configure HubSpot, feedmob-skills installation.
opencode-agent
Delegate coding tasks to an attached OpenCode server via `opencode run --attach`. Use when: (1) building new features, (2) refactoring, (3) reviewing changes, (4) iterative coding with background monitoring. This skill is server-only and always uses `--attach` with `--dir` (server-side path).
typst
Write and create Typst documents (.typ files). Use when the user asks to create, write, edit, or convert documents to Typst format, write Typst markup, create academic papers, reports, or documents in Typst, convert LaTeX to Typst, or work with .typ files. Typst is a modern markup-based typesetting system alternative to LaTeX.
east-node-io
I/O platform functions for the East language on Node.js. Use when writing East programs that need SQL databases (SQLite, PostgreSQL, MySQL), NoSQL databases (Redis, MongoDB), S3 storage, file transfers (FTP, SFTP), file format parsing (XLSX, XML), or compression (Gzip, Zip, Tar). Triggers for: (1) Writing East programs with @elaraai/east-node-io, (2) Database operations with SQL.SQLite, SQL.Postgres, SQL.MySQL, NoSQL.Redis, NoSQL.MongoDB, (3) Cloud storage with Storage.S3, (4) File transfers with Transfer.FTP, Transfer.SFTP, (5) Format parsing with Format.XLSX, Format.XML, (6) Compression with Compression.Gzip, Compression.Zip, Compression.Tar.
east-node-std
Node.js platform functions for the East language. Use when writing East programs that need Console I/O, FileSystem operations, HTTP Fetch requests, Cryptography, Time operations, Path manipulation, Random number generation, or Testing. Triggers for: (1) Writing East programs with @elaraai/east-node-std, (2) Using platform functions like Console.log, FileSystem.readFile, Fetch.get, Crypto.uuid, Time.now, Path.join, Random.normal, (3) Testing East code with describeEast and Assert.
idse-developer-agent
Intent-Driven Systems Engineering (IDSE) methodology for structured software development. Use when users want to: (1) Plan a new feature or project systematically, (2) Create engineering artifacts (intent, context, spec, plan, tasks), (3) Move from vague ideas to structured implementation plans, (4) Generate specifications before writing code, (5) Break work into atomic testable tasks, (6) Follow a constitutional engineering approach. Triggers: 'help me plan', 'create a spec', 'IDSE', 'intent-driven', 'write a specification', 'break this into tasks', 'implementation plan', 'what should I build first', 'structured engineering', 'plan before code'.
code-auditor
Analyze a project to provide a summary of line counts per programming language (e.g., how many lines of Go vs Rust). Generates a PDF summary report.
research
Researches thoroughly how to use an API, library, or reference architecture. FCan be used as fallback when the WebSearch tool fails.
stream-deck
Helper to safely edit manifest files when developing plugin for Elgato Stream Deck
eval-notebook
Execute .ipynb notebooks (Python, Kotlin, or any Jupyter kernel) without overwriting; return LLM-friendly JSON with outputs and errors
nix-shell
Search Nix packages and run commands with packages from nixpkgs that are not installed locally
diagram-render
Render PlantUML (@startuml…@enduml) and Mermaid fenced blocks to a self-contained HTML preview; if rendering fails, the error text must be embedded in the output image.
browser-use
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
pr-bb
Fetches review comments for a given Bitbucket pull request
ai-pair-programming
Orchestrates a dual-AI engineering loop where a Primary AI plans and implements, while a Review AI validates and reviews, with continuous feedback for optimal code quality. Supports custom AI pairing (Claude, Codex, Gemini, etc.)
figma-to-compose
Generate Android Jetpack Compose UI from Figma using Figma Desktop MCP (get_metadata, get_variable_defs, create_design_system_rules, get_design_context, get_screenshot). Automatically detect icon/vector nodes in Figma, obtain SVG/path data when available, and convert icons to Android VectorDrawable XML using Android MCP Toolkit (convert-svg-to-android-drawable). Use when the user shares a Figma link/node-id and asks to implement UI in Compose from Figma.
darkit-gin
基于 gin-gonic/gin 的企业级 Web 框架增强版，提供开箱即用的 JWT 认证、SSE 实时通信、缓存管理、OpenAPI 文档生成等企业级功能。涵盖选项式路由配置、统一响应格式、中间件管理、安全加固、性能优化等完整开发能力。
LangChain_1.0
Comprehensive assistance with LangChain_1.0
architecture-analysis
Comprehensive frontend architecture analyzer that identifies technology stacks, build tools, and architectural patterns. Use when you need to quickly understand a project's structure, dependencies, and technical configuration. Provides analysis for Vue/React/Angular frameworks, Node.js environments, package managers, TypeScript usage, linters, and architecture patterns with multiple output formats including executive summaries and visualizations.
unit-test-generator
Intelligent unit test generator for frontend projects that detects existing test frameworks and generates comprehensive tests for functions, components, and modules. Use when you need to: (1) Add unit tests to existing codebases, (2) Set up testing infrastructure for new projects, (3) Generate test cases for specific functions or components, (4) Ensure architectural consistency in testing approach across projects. Supports Jest, Vitest, Mocha with React, Vue, Angular frameworks.
dependency-analysis
Enhanced dependency analyzer with comprehensive markdown reporting and actionable recommendations. Use when you need to optimize frontend project dependencies, detect security vulnerabilities, identify unused packages, find duplicate functionality, analyze dependency impact, generate cleanup scripts, or produce detailed Markdown reports. Supports JavaScript, TypeScript, Vue, React, Angular, and modern build tools with parallel processing and incremental analysis capabilities.
react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
vercel-deploy
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
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