Results for “te-cl”

Use to structure a PNAS main text and hold its length — Title, Significance Statement, Abstract, Introduction, Results, Discussion, in-text Materials and Methods, references — and to choose the required Classification (Biological/Physical/Social Sciences + minor subject) and keywords at submission.

You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration.

You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration.

Use WordPress' HTML API for safe server-side HTML inspection and mutation instead of regex, fragile string replacement, or DOMDocument. Covers WP_HTML_Tag_Processor, WP_HTML_Processor, set_attribute, remove_attribute, add_class, remove_class, set_modifiable_text, serialize_token, custom data attribute name mapping.

Creates and renews iOS/macOS signing assets—bundle IDs, capabilities, certificates, and provisioning profiles—via the App Store Connect CLI, including encrypted git-backed team sync.

Extract structured resources (icons, metadata, text, forms, videos, social links) from any webpage using playwright-cli.

Manage interactive tmux sessions from an agent, including spawning coding agents in parallel and monitoring their output.

Enforces code review practices: receiving feedback with technical rigor, requesting reviews via /code-review, and verifying before claiming completion.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Shared shell rules for portable, approval-friendly agent commands. Use when running git, GitHub CLI, builds, tests, cross-directory commands, or commands that write files.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Translate an external competency framework like DigComp, GreenComp, or ISTE into classroom-ready activities. Use when implementing framework standards in specific teaching contexts.

Use this skill when creating or updating PR descriptions. Provides detailed guidelines for writing clear, comprehensive pull request descriptions with proper Summary and Testing sections.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Use this skill when creating or updating PR descriptions. Provides detailed guidelines for writing clear, comprehensive pull request descriptions with proper Summary and Testing sections.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Use for writing, reviewing, debugging, or testing Python terminal presentation built with Rich, including Console streams, Text and markup safety, tables, trees, panels, progress, status, Live displays, render protocols, and deterministic output capture. Do not use for CLI argument parsing, structured logging design, browser UI, or machine-readable protocol output that must remain plain.

Esboça a abordagem técnica como delta sobre o legado, gerando roadmap, investigation, data-delta, onboarding e interfaces da feature ativa. Use quando o usuário digitar "/reversa-plan", "reversa-plan", "esboçar plano técnico" ou pedir para virar requirements em desenho de solução. Terceiro skill do ciclo forward, depois de `/reversa-requirements` e (opcionalmente) `/reversa-clarify`.

Propose specific, actionable test cases for a target module — without writing the actual test code. Use this skill whenever the user wants to know "what should I test", "what test cases would catch real bugs in X", "I have a finding from test-assessment, what tests would close that gap", "suggest tests for this file", or wants to think through coverage before writing. Pairs with the test-assessment skill (which finds gaps); writing the test code itself happens as a normal follow-up task once the suggestions are reviewed. This skill stops at suggestions — if the user wants code generated, redirect them. Trigger even on casual phrasings ("what should I test in auth.ts", "give me test ideas for this module").

Provides exact payloads and bypass techniques for every PortSwigger DOM-based vulnerability lab variant, including zero-day extensions and blue team detection strategies.

You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration.

专家团总路由器。用于 Codex CLI 的 $expert-team 调用。 自动在软件开发团队、设计原型专家团、产品战略团队、基础设施运维专家、安全专家和数据库优化专家之间路由，也支持显式指定 software/design/product/ops/security/database。 触发词：专家团、团队协作、软件开发、设计原型、产品战略、基础设施运维、安全专家、数据库专家、威胁建模、代码审计、SRE、PRD、竞品、路线图、监控、部署、安全加固、SQL、索引、慢查询、迁移

Drafts institutional-quality Limited Partnership Agreements for PE/VC fund formation. Covers GP/LP terms, capital commitments, distribution waterfall, carried interest, LPAC governance, clawback, and tax provisions. Use when drafting LPA, fund formation agreement, limited partnership terms, or PE/VC fund documents.

Detect IBD-style Distribution Days for QQQ/SPY, track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk, and emit TQQQ/QQQ exposure recommendations.

Verifies a claim by finding primary sources and rates the evidence as supported, mixed, unsupported, or unverifiable, with citations and what would change the verdict.

Cleans a Quarto (.qmd) file by replacing LaTeX holdovers with proper Quarto/Pandoc syntax so the document renders correctly to HTML, PDF (Typst/LaTeX), and Word. Fixes citations (\citep → [@key]), cross-references (\ref → @label), figures (\includegraphics → markdown), tables, text formatting (\textbf → **bold**), inline math (\( \) → $ $), hyperlinks (\href → [text](url)), footnotes (\footnote → ^[]), list environments, section headings, and R Markdown chunk options (dot-style → #| YAML). Use when asked to clean, fix, modernize, or port a Quarto or R Markdown document; when LaTeX commands appear in a .qmd file; when a document fails to render to Word or Typst; or when citations/cross-references do not appear in non-LaTeX output.

Translates text between languages with three modes: quick, normal, and refined. Supports custom glossaries, audience targeting, and style presets.

Creates a pull request from the current feature branch with a structured summary, test results, and change description.

Generates video clips from text prompts using Google Veo models, with options for duration, aspect ratio, and model selection.

Use when working with files in ~/Notes (the user's Obsidian vault). Covers vault structure (PARA), file naming, frontmatter, icons, templates, kanban boards, and the obsidian CLI.

Map a current event below the surface into patterns, structures, and mental models. Use when a class or team needs systemic understanding before action.

Add terminal spinners with Ora. Use when showing loading indicators in CLI tools, displaying progress during async operations, or building polished command-line interfaces with status feedback.

Scales machine learning training from single GPU to multi-node clusters with minimal code changes. Supports PyTorch, TensorFlow, and HuggingFace with built-in hyperparameter tuning, fault tolerance, and elastic scaling.

Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).