productivity▌

Query Google NotebookLM notebooks directly from Claude for source-grounded, citation-backed answers. \n \n Manages multi-account Google authentication with automatic browser login and persistent session handling \n Supports 20+ commands across notebook management, source uploads (files, URLs, YouTube, Z-Library, text), and queries with automatic follow-up detection \n Generates media artifacts including podcasts, briefings, debates, slide decks, and infographics with customizable length, format,

Skill by ara.so — Daily 2026 Skills collection.

Captures learnings, errors, and corrections to enable continuous improvement across agent sessions. \n \n Logs failures, user corrections, knowledge gaps, and API errors to structured markdown files ( .learnings/LEARNINGS.md , ERRORS.md , FEATURE_REQUESTS.md ) with consistent ID, priority, and status tracking \n Supports promotion of broadly applicable learnings to project memory files ( CLAUDE.md , AGENTS.md , .github/copilot-instructions.md ) and workspace files in OpenClaw ( SOUL.md , TOOLS.m

Security engineering tools for threat modeling, vulnerability analysis, secure architecture design, and penetration testing.

Compresses images to WebP or PNG with automatic tool selection based on system availability. \n \n Supports WebP (default), PNG, and JPEG output formats with configurable quality (0–100, default 80) \n Automatically selects best available compression tool: sips, cwebp, ImageMagick, or Sharp \n Processes single files or directories recursively with options to keep originals or replace in-place \n Customizable via EXTEND.md configuration files at project, user home, or XDG config locations \n

Comprehensive project planning with Epic > Feature > Story hierarchy, dependencies, priorities, and GitHub automation. \n \n Generates hierarchical work breakdown from epics down to individual tasks with INVEST-compliant user stories, technical enablers, and test items \n Provides GitHub issue templates for each work item type (epic, feature, story, enabler, task) with acceptance criteria, definitions of done, and dependency linking \n Includes priority and value matrix (P0–P3), Fibonacci story

Convert X tweets and articles to markdown with YAML front matter using reverse-engineered API. \n \n Extracts tweets, threads, and X articles to markdown with metadata (author, URL, cover image, thread count) \n Requires explicit user consent before first use; displays disclaimer about reverse-engineered API and potential account risks \n Supports media download to local imgs/ and videos/ directories with automatic link rewriting, configurable per-conversion or via preferences \n Authenticates v

Scaffold new Agent Skills with proper frontmatter, directory structure, and bundled resource organization. \n \n Generates SKILL.md files with required YAML frontmatter (name, description) and optional metadata fields for skill discovery \n Supports optional bundled directories: scripts/ for automation, references/ for documentation, assets/ for static files, and templates/ for starter code \n Provides step-by-step workflow for creating skills from scratch or duplicating this template as a start

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理。然后阅读 ../lark-vc/SKILL.md，了解会议纪要相关操作。

Microsoft Fabric Lakehouse storage for unified tabular and non-tabular data with Delta Lake, SQL analytics, and fine-grained security. \n \n Combines data lake flexibility with data warehouse management through Delta Lake format, ACID transactions, versioning, and SQL endpoints for T-SQL querying \n Organizes data via schemas (folders under Tables), shortcuts (virtual links to internal/external sources), and materialized views for optimized query performance \n Supports multiple data formats: De