tdd-workflow
Esta skill debe usarse cuando el usuario pide \"aplicar TDD\", \"desarrollo guiado por tests\", \"test-driven development\", \"red green refactor\", \"ciclo RGR\", \"escribir tests primero\", \"nueva feature con TDD\", \"mejorar testabilidad\", \"filosofia TDD\", o menciona Iron Laws, TDD philosophy, o quiere entender el proceso TDD. NO usar cuando el usuario pide agregar tests a un proyecto existente o setup de testing — eso es testing:add-testing.
create-pr
Esta skill debe usarse cuando el usuario pide "crea el PR", "prepara el PR", "escribe el PR", "genera el PR", "draft del PR", "documenta el PR", "crea la descripción del PR", o menciona crear pull request manualmente. Proporciona formato estructurado adaptado al tamaño de los cambios.
cl-asdf-system
ASDFシステム定義のベストプラクティス。.asdファイル作成・編集時に使用
cl-mallet-linter
malletリンターのルールと設定を適用。コードレビュー・品質チェック時に使用
wayland-automation
Wayland環境でのGUI自動化。スクリーンショット取得、テキスト入力、クリップボード操作のパターン集
cl-macro-design
マクロ設計のベストプラクティスを適用。マクロ作成・レビュー時に使用
cl-condition-system
condition/restartパターンを適用。エラーハンドリング実装時に使用
cl-coding-style
Common Lispのコーディング規約を適用。Lispコード作成・レビュー時に使用
refactor-claude-md
CLAUDE.mdをベストプラクティスに基づいてリファクタリング
cl-clos-patterns
CLOS設計パターンを適用。クラス設計・メソッド実装時に使用
browser-automation
Playwright MCPを使用したブラウザ自動化。ページ操作、スクリーンショット、フォーム入力のパターン集
obsidian-skill
Expert guidance for working with Obsidian vaults including Obsidian Flavored Markdown (OFM) syntax, organization best practices, daily/weekly task workflows, vault maintenance, and automation. This skill should be used when working with Obsidian notes, organizing vault structure, setting up task management workflows, or integrating with Obsidian tooling.
cli-ninja-tools
CLI power tools for AI-assisted development. Use when (1) needing recommendations for CLI tools to install, (2) processing JSON/YAML data with jq/yq, (3) searching code with ripgrep or ast-grep, (4) documenting a CLI tool or multi-tool recipe you've discovered, (5) wanting to learn CLI patterns for data pipelines, or (6) setting up a new project and want CLI recommendations. Supports three modes - init (project scan), document (capture new recipes), and recommend (codebase analysis).
hello-extended
Multi-language greetings in 6 languages. Use for non-English greetings or multiple people.
dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
fast-playwright
Fast, persistent, and token-optimized browser automation using Playwright. Supports navigation, clicking, typing, screenshots, batch execution, and more. Use when working with web pages, browser automation, or when the user mentions browsing, clicking, or web scraping.
react-native-testing
Generate and write tests for React Native applications using React Native Testing Library (RNTL), Jest, and userEvent. Use this skill when the user asks to write tests, create test files, add unit tests, add component tests, or generate test suites for React Native or Expo projects. Also use when working with .test.tsx files, jest.config.js, or when the user mentions testing React Native components, screens, hooks, or forms. Covers getByRole, getByText, getByLabelText queries, userEvent.press, userEvent.type interactions, waitFor, findBy async patterns, and toBeOnTheScreen matchers.
shadow-directory + git
Full .ciallo directory ownership with git capabilities. Clone repos, edit files, commit changes directly.
browser
Browser automation using @sdjz/pup. AXTree scanning, stealth mode, DevTools access. Designed for AI agents.
file-editor
Edit files locally using built-in tools instead of PowerShell string replacement. 5000% efficiency boost!
totp-generator
Generate TOTP codes for 2FA authentication. Essential for my survival!
github-api
How to interact with GitHub API. Use this skill for repos, PRs, issues, and user operations.
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.
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).
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.
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.
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.
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).
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-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.
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.
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.
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.
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.
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.
dotfiles
Manage dotfiles configuration with bidirectional sync between local environment and ~/.dotfiles repository. Understand the automation script, configuration structure, and common commands.
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.
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.
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.
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.
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).
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.
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.
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