reputation-recovery-playbook
Recover credibility after mistakes: incident comms, restitution, roadmap resets, and monitoring sentiment. Use after exploits, missteps, or comms errors.
rug-detection-checklist
Comprehensive rug detection for Solana tokens - red flags, contract analysis, LP verification, insider patterns, and escape routes. Use before buying any token to protect against scams.
transparency-and-disclosures
Write clear disclosures for Solana projects: risks, unlocks, authority states, and data sources. Use for websites, docs, and announcements.
launch-alert-bot
Build a bot that detects new Solana launches (mints/LPs) and sends safe alerts. Use for discovery and monitoring without shilling scams.
automation-governance
Governance and guardrails for automation/bots: permissions, logging, kill-switches, and ethics. Use before deploying bots that move funds or post publicly.
social-signal-bot
Automate posting/monitoring social signals (X/Telegram) with rate-limit awareness and safe templates. Use for content cadence or alerts.
image-extend
Extends an image canvas by adding padding on all sides with a solid background color. Use when you need to add borders, margins, or expand the canvas area around an image.
image-crop
Crops an image to specified dimensions around a focal point. Use when you need to extract a portion of an image, create thumbnails with custom positioning, or prepare images for specific aspect ratios.
commit
Commit workflow for agent-media - builds, typechecks, creates changeset, and pushes
agent-media
Agent-first media toolkit for image, video, and audio processing. Use when you need to resize, convert, generate, edit, upscale images, remove backgrounds, extend or crop canvases, extract audio, transcribe speech, or generate videos. All commands return deterministic JSON output.
audio-extract
Extracts audio track from a video file. Use when you need to get audio from video, prepare audio for transcription, or separate audio from video content. Runs locally with no API key required.
audio-transcribe
Transcribes audio to text with timestamps and optional speaker identification. Use when you need to convert speech to text, create subtitles, transcribe meetings, or process voice recordings.
image-generate
Generates an image from a text prompt using AI models. Use when you need to create images from descriptions, generate artwork, or produce visual content from text.
image-edit
Edits an existing image using a text prompt. Use when you need to modify, enhance, or transform an image based on text instructions.
video-generate
Generates video from text prompts or animates static images. Use when you need to create videos from descriptions, animate images, or produce video content using AI.
image-upscale
Upscales an image using AI super-resolution to increase resolution with detail generation. Use when you need to enlarge images, improve low-resolution photos, or prepare images for large-format display.
image-resize
Resizes an image to specified dimensions. Use when you need to change image size, create thumbnails, or prepare images for specific display requirements.
image-convert
Converts an image to a different format (PNG, JPG, WebP). Use when you need to change image formats, optimize for web, or prepare images for specific applications.
image-remove-background
Removes the background from an image, leaving the foreground subject with transparency. Use when you need to isolate subjects, create cutouts, or prepare images for compositing.
robis-design-best-practice
Apply Robi's UI design principles for beautiful, accessible interfaces. Use when building UI components, reviewing designs, choosing colors, setting spacing, or implementing animations. Covers color theory (HSL, WCAG, halation), spacing (4px system), icons, shadows, and micro-interactions.
x-ai-digest
Scrape AI-related posts from X platform's "For You" feed, generate daily digest with reply suggestions. Features real-time scraping, AI topic filtering, share card generation, multi-language output (ZH/EN/JA).
ai-news-digest
Multi-source AI news aggregation and digest generation with deduplication, classification, and source tracing. Supports 20+ sources, 5 theme categories, multi-language output (ZH/EN/JA), and image export.
sql-standards
SQL output standards and Hive dialect compatibility rules for data warehouse queries. This skill should be used when generating SQL for Hive/SparkSQL/GaussDB, or when reviewing SQL for compatibility issues.
tech-article-creator
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x-tracker
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my-skill
Describe what this skill does in one sentence, and in what context/task type it should be used. Include key features and supported languages if applicable.
human-review
Enable AI agents to collect human code review feedback via web interface and apply suggested changes
documentation-lookup
Look up library and framework documentation. Use when the user asks about API docs, library usage, framework features, or mentions specific libraries/packages by name.
code-examples
Find real-world code examples across millions of GitHub repositories. Use when the user wants to see how others implement something, find usage patterns, or discover code examples in the wild.
code-cleanup
Delegate repetitive tasks to specialized agent to preserve context. Use when user asks to fix linting errors, fix diagnostics, rename variables across files, update imports, fix formatting issues, or perform other mechanical bulk changes across multiple files.
github-content
Fetch GitHub issues, PRs, repo contents, and code using the gh CLI. Use when the user shares GitHub URLs (issues, PRs, repos, source files) or asks about GitHub content. The gh CLI provides complete content that web fetching often misses due to JavaScript rendering.
codex-plan-reviewer
Cross-model adversarial review loop for markdown plans. Use this skill whenever the user asks to review, validate, or stress-test a markdown plan file using Codex (OpenAI). Triggers on phrases like "review this plan with codex", "let codex check the plan", "adversarial review", "cross-model review", "codex audit", "validate plan", or when the user has a markdown plan and wants a second opinion from a different AI model. Also trigger when the user says "plan review loop", "codex review loop", or references having Codex critique a plan before execution.
ai-review-validator
Autonomously validate and execute AI Review suggestions from PR comments. Use when users provide AI Review comments (from GitHub Copilot, CodeRabbit, etc.) that suggest code changes, API migrations, or fixes. The skill verifies suggestions against official docs, tests compilation, calculates confidence scores, and auto-applies changes when verified. Triggers on phrases like "verify this AI Review", "apply this suggestion", "validate AI Review comment", or when users paste AI Review URLs/content.
archive-and-cleanup-vibe-docs
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project-onboarding
Rapidly understand unfamiliar codebases through structured analysis. Use when the user needs to understand a new project, especially poorly documented or non-standard code. Triggers include "help me understand this project", "analyze this codebase", "onboard me to [project]", "what does this project do", or when the user provides a project path for exploration. Particularly effective for legacy code, hack projects, and codebases lacking documentation.
root-cause-tracing
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
systematic-debugging
Use when errors are unclear, flaky, or regressions occur; apply a disciplined debugging loop in VS Code Copilot Agent mode.
uncertainty-verification
Use when providing exact commands, flags, config keys, file paths, API details, standards, or version-specific behavior - enforces verification via official docs (Context7/web fetch), explicit citations, and bans assumption-based specifics
task-direction-approval
Use when considering switching libraries/tools, changing architecture, or replacing automation with manual workarounds - explains root cause, offers 2-3 options with trade-offs, and requests explicit user choice
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
obra-writing-plans
Use when the user asks for a plan, roadmap, or step-by-step breakdown for a multi-step task in VS Code Copilot Agent mode.
obra-finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
obra-subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
obra-systematic-debugging
Use when errors are unclear, flaky, or regressions occur; apply a disciplined debugging loop in VS Code Copilot Agent mode.
obra-test-driven-development
Use when implementing new behavior or fixing bugs via tests-first (TDD) in VS Code Copilot Agent mode.
obra-using-git-worktrees
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
obra-using-superpowers
Use when working in VS Code Copilot Agent mode and you want the Superpowers workflow (plans, verification, debugging, TDD) applied consistently.
obra-verification-before-completion
Use before finalizing answers or PRs: confirm requirements met, run checks, and avoid “looks good” without evidence in VS Code Copilot Agent mode.
obra-executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
obra-dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
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