productivity▌

Techniques and patterns for crafting effective prompts across LLMs, image generators, and video models. \n \n Covers LLM prompting fundamentals: role assignment, task clarity, chain-of-thought reasoning, few-shot examples, output format specification, and constraint setting \n Image generation structure includes subject description, style keywords, composition control, quality modifiers, and negative prompt usage \n Video prompting guidance covers shot types, camera movement, action description,

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. \n \n Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts \n Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use \n Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question \"...\" , an

Use this skill to keep local metadata in sync with Google Play.

基于 lark-cli 创建新 Skill。Skill = 一份 SKILL.md，教 AI 用 CLI 命令完成任务。

Swift client for connecting to Rivet Actors with stateless and stateful connection modes. \n \n Supports both stateless action calls and persistent WebSocket connections with real-time event streaming via AsyncStream \n Provides typed action calls with 0–5 positional arguments, plus raw JSON fallback for larger argument counts \n Includes connection lifecycle monitoring through status changes, errors, opens, and closes streams \n Supports low-level HTTP and WebSocket access for custom onRequest

Create concise, example-driven tldr pages from documentation URLs and command names. \n \n Requires both a command name and authoritative documentation URL; provides guidance if either is missing \n Extracts 5–8 most common use cases ordered by frequency, following strict tldr-pages project formatting standards \n Uses {{placeholder}} syntax for options, arguments, and user-provided values with specific conventions for flags, options with arguments, and subcommands \n Validates documentation sou

Agile sprint planning provides a structured approach to organize work into time-boxed iterations, enabling teams to deliver value incrementally while maintaining flexibility and responding to change.

Automated Azure Verified Module version updates for Bicep files with breaking change detection. \n \n Scans Bicep files to extract AVM module references, queries MCR for latest versions, and applies updates automatically \n Pauses for manual approval when breaking changes, security modifications, or parameter incompatibilities are detected \n Validates all changes with bicep lint and bicep build to ensure compliance before finalizing \n Outputs results in a structured table showing module names,

dd-monitors

Analyzes git changes and creates semantic Git Flow branches automatically based on change type. \n \n Inspects staged and unstaged changes via git status and git diff to determine branch category: feature, release, or hotfix \n Generates semantic branch names following Git Flow conventions (e.g., feature/user-auth , release-1.2.0 , hotfix/security-patch ) \n Branches from the correct source ( develop for features and releases, master for hotfixes) and creates the branch in one command \n Handles