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Found 196 Skills
Generate and critically evaluate grounded ideas about a topic. Use when asking what to improve, requesting idea generation, exploring surprising directions, or wanting the AI to proactively suggest strong options before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on X', 'surprise me', 'what would you change', or any request for AI-generated suggestions rather than refining the user's own idea.
Invoke before any creative or architectural work — feature design, component creation, or behavioral changes. A streamlined brainstorming process optimized for fast, focused decision-making.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Critical-thinking brainstorming partner that acts as a requirements analyst. Use when users present ideas, feature requests, or problems they want to solve. Triggers include "I want to build", "help me validate", "users need", "I'm thinking of creating", or any request involving problem/solution validation. This skill aggressively challenges assumptions, questions perceived problems, demands evidence, and ensures solutions address genuine needs before exploring implementation.
Writing coach that extracts educational content from your daily experiences and turns it into publish-ready newsletter drafts. Use when brainstorming newsletter ideas, writing content for The Little Blue Report, or when you want help turning experiences into educational articles.
Design stress-test engine. Does NOT generate designs — it pressure-tests YOUR existing draft against real-world edge cases, code constraints, and failure paths. One sharp question at a time, drilling down the decision tree, using code facts to stress-test assumptions, then outputs a tight Facet Brief. NOT for: executing clear tasks, factual Q&A, or pure brainstorming (go brainstorm first, then come back with a direction). Triggers: "facet / pressure-test this plan / stress-test the design".
Write a blueprint (plan file) for a multi-step task (Step 3 of /task). Runs one brainstorming round then writes ai-workspace/plans/<name>.md from TEMPLATE.md. Skipped for one-sentence scope. Does NOT review — that is /review (Step 4).
Use after brainstorming completes - writes validated designs to docs/design-plans/ with structured format and discrete implementation phases required for creating detailed implementation plans
Create or update role-specific skill packages with deterministic files. Supports output to skills/ (open-source publishing) or .agents/teams/ (team use). Triggers: 创建角色, 新建 role, create role, 更新 role scope, edit role, update role, add role skill, 修改角色配置. Use when the user asks to create, update, or edit frontend/backend/product (or custom) role skills with auto-generated role fields, guided brainstorming fallback, and curated skills selection.
Host simulated panel discussions and debates among AI-simulated domain experts. Supports roundtable, Oxford-style, and Socratic formats with heterogeneous expert personas, anti-groupthink mechanisms, and structured synthesis. Use when exploring complex topics from multiple expert perspectives, testing argument strength, academic brainstorming, or understanding trade-offs in decisions. NOT for one-on-one conversations, simple Q&A, or real-time debates.
Guide developers through creating ChatGPT apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/widgets, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app / MCP server for ChatGPT, or use the Skybridge framework.