LLMs respond to the same persuasion principles as humans. Understanding this psychology helps you design more effective skills - not to manipulate, but to ensure critical practices are followed even under pressure.

--- name: finishing-a-development-branch description: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work --- Core principle: Verify tests → Detect environment → Present options → Execute choice → Clean up. Announce at start: "I'm using the finishing-a-development-branch skill to complete this work." Run the project's full test suite (npm test / cargo test / pytest / go test ./...).

Goal: Refactor visual brainstorming from blocking TUI feedback model to non-blocking "Browser Displays, Terminal Commands" architecture. Architecture: Browser becomes an interactive display; terminal stays the conversation channel.

Goal: Make using-git-worktrees, finishing-a-development-branch, and related skills work in the Codex App's sandboxed worktree environment without breaking existing behavior. Architecture: Read-only environment detection (git-dir vs git-common-dir) at the start of two skills.

Chrome DevTools for agents (chrome-devtools-mcp) lets your coding agent (such as Antigravity, Claude, Cursor or Copilot) control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.

Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client. English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe | Русский | हिन्दी | Português | Français | Deutsch The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.

Date: 2025-11-22 Author: Bot & Jesse Status: Design Complete, Awaiting Implementation Add full superpowers support for OpenCode.ai using a native OpenCode plugin architecture that shares core functionality with the existing Codex implementation. OpenCode.ai is a coding agent similar to Claude Code and Codex.

Claude Code plugins need hooks that work on Windows, macOS, and Linux. This document describes the single generic dispatcher pattern used in hooks/run-hook.cmd.

--- name: systematic-debugging description: Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes --- Core principle: ALWAYS find root cause before attempting fixes. Violating the letter of this process is violating the spirit of debugging.

Date: 2026-06-10 Status: Draft for Drew review Fix the security and reliability gaps found in PR #1720's brainstorming visual companion without changing the companion's core workflow or adding runtime dependencies. The fixes must be test-first and must leave clear automated evidence for: The companion serves agent-generated local UI for a single brainstorming session.

A collection of official Agent Skills from leading development teams and the community. Unlike many bulk-generated skill repositories, this collection focuses on real-world Agent Skills created and used by actual engineering teams, not mass AI‑generated stuff.

Status: Approved design (brainstormed with Jesse 2026-07-15); implementation plan to follow. Objective: make the subagent-driven-development skill's review-fix loop convergent and autonomous, and make the document readable, without rewriting its eval-tuned language.

Status: Proposed (follow-up to the 2026-06-09 SDD review-dispatch work; separate PR per the one-problem-per-PR rule) Driver: Measured evidence (2026-06-10) that some negative instructions in skill prose backfire, while others work — and that the difference is predictable. Micro-tests on 2026-06-10 (opus, 5 reps per phrasing, programmatic scoring; harness described below) measured how guidance phrasing changes what a controller composes: |---|---|---| The doctrine (use this to

Awesome Prompt Engineering 🧙‍♂️ A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models. https://promptslab.github.io --- New to prompt engineering?

Understand Anything Turn any codebase, knowledge base, or docs into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

Goal: Harden the brainstorming visual companion auth and reconnect flow while preserving trusted same-origin screen JavaScript and future vendored UI libraries. Architecture: Keyed root loads become a bootstrap step that sets the cookie, stores the key in tab-scoped sessionStorage, and navigates to a bare / screen URL.

Goal: Scope SDD's per-task reviews to the task (diff-first reading, justified broadening, no redundant test runs) while final branch review stays broad. skills/requesting-code-review/ is deliberately untouched.

Date: 2026-02-19 Status: Approved Scope: lib/brainstorm-server/, skills/brainstorming/visual-companion.md, tests/brainstorm-server/ During visual brainstorming, Claude runs wait-for-feedback.sh as a background task and blocks on TaskOutput(block=true, timeout=600s). This seizes the TUI entirely — the user cannot type to Claude while visual brainstorming is running.

Goal: Finish PR #1720's final hardening fixup with test-first changes, clean rebase state, and reviewer-ready evidence. Spec: docs/superpowers/specs/2026-06-11-visual-companion-final-hardening-fixup-design.md Architecture: Keep the companion zero-dependency and local-first.

Browser-based visual brainstorming companion for showing mockups, diagrams, and options. The test: would the user understand this better by seeing it than reading it?