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Found 25 Skills
Check whether the Meticulous CLI (@alwaysmeticulous/cli) is installed and up to date, and install/update it if not. Invoked at the start of every other Meticulous skill, since the CLI is under active development with frequent changes and improvements.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
LOAD THIS SKILL when: updating npm packages, user mentions 'update packages', 'update-packages', 'outdated', 'dependency updates'. Covers autonomous npm package updates with breaking change handling, Bun updates, Playwright Docker sync, and package group coordination.
This skill should be used when the user requests phrases such as "list teams", "team list", "view team configurations", or "what teams are available". It scans the .team-profiles/ directory and displays summary information of all available configurations.
Use when researching React APIs or concepts for documentation. Use when you need authoritative usage examples, caveats, warnings, or errors for a React feature.
View the article topic queue and optionally select a topic to generate an article. Use when the user invokes "/article-queue" or asks "show my article queue", "what articles are queued", or "list article topics".
Saves learning notes from the current conversation as a markdown file. Use after a study session to record what you learned.
Capture knowledge manually into the flywheel. Save a decision, pattern, lesson, or constraint for future sessions. Triggers: "learn", "remember this", "save this insight", "I learned something", "note this pattern".
This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", or mentions plugin optimization and validation tasks.
This skill should be used when the user requests social media content creation for Twitter, Instagram, LinkedIn, or Facebook. It generates platform-optimized posts and saves them in an organized folder structure with meaningful filenames based on event details.
Use this skill when the user says phrases like "get transcript", "transcribe video", "extract script", "help me extract it", "what does this video say", "what did this blogger say", or directly provides a video link requesting content extraction. Even if the user only sends a video link without stating their request, proactively trigger this skill if the context involves benchmark analysis or content extraction. Call video2text.py to obtain the raw transcript, use AI to correct common speech recognition errors, identify the author, and archive it to the benchmark blogger directory. Do NOT trigger for: analyzing viral content patterns (use li-analyzer), recording own topic ideas (use li-recorder), writing own scripts (use li-writer). Use when the user wants to "get transcript", "transcribe video", "extract script", or gives a video link for content extraction. Runs speech-to-text, AI proofreads, and archives to benchmark blogger directory.
Resolve `/flag` style requests into the right LaunchDarkly flag lookup flow. Use when the user types `/flag`, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags.