數據與 AI
機器學習、數據科學和人工智慧開發技能
22656 skills in this category
nmap
Professional network reconnaissance and port scanning using nmap. Supports various scan types (quick, full, UDP, stealth), service detection, vulnerability scanning, and NSE scripts. Use when you need to enumerate network services, detect versions, or perform network reconnaissance.
apktool
Android APK unpacking and resource extraction tool for reverse engineering. Use when you need to decode APK files, extract resources, examine AndroidManifest.xml, analyze smali code, or repackage modified APKs.
chipsec
Static analysis of UEFI/BIOS firmware dumps using Intel's chipsec framework. Decode firmware structure, detect known malware and rootkits (LoJax, ThinkPwn, HackingTeam, MosaicRegressor), generate EFI executable inventories with hashes, extract NVRAM variables, and parse SPI flash descriptors. Use when analyzing firmware .bin/.rom/.fd/.cap files offline without requiring hardware access.
github-assistant
GitHub workflow automation using `gh` CLI. Use when creating PRs, reviewing code, managing issues, auto-replying to fixed issues, adding comments, assigning users, managing labels, merging PRs, or checking CI status. Includes auto-reply script and Vietnamese templates.
notion-spec-to-implementation
Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.
notion-meeting-intelligence
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.
notion-knowledge-capture
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
reviewing-changes
Performs comprehensive code reviews for Bitwarden iOS projects, verifying architecture compliance, style guidelines, compilation safety, test coverage, and security requirements. Use when reviewing pull requests, checking commits, analyzing code changes, verifying Bitwarden coding standards, evaluating unidirectional data flow pattern, checking services container dependency injection usage, reviewing security implementations, or assessing test coverage. Automatically invoked by CI pipeline or manually for interactive code reviews.
sentry
Fetch and analyze Sentry issues, events, transactions, and logs. Helps agents debug errors, find root causes, and understand what happened at specific times.
functional
Functional programming patterns with immutable data. Use when writing logic or data transformations.
oracle
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
gog
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.
clawdis-notify
Send system notifications to specific Clawdis nodes (macOS computers) via the Gateway and CLI. Use when you need to alert a person or confirm a remote action on a particular machine, or when an agent must push a notification to another computer.
openai-image-gen
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
qmd
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
clawdis-nodes
Discover, interpret, and target Clawdis nodes (paired devices) via the Gateway/CLI. Use when an agent must find available nodes, choose the best target machine, or reason about presence vs node availability (Tailnet/Tailscale optional).
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
spec-driven-development
Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.