brandon-fryslie

Transform an application's logging/output to Brandon's colorized logging style — a reset-safe ANSI color layer with semantic level functions (info=yellow, warning=bold-yellow, success=green, error=red, verbose-trace=magenta) where color alone carries the level and there are no text labels. Use when the user says "apply my logging style", "colorize the logging", "make the logging match my style", "convert print/console.log statements to my colored logging", "add my logging library", "standardize this app's log output", or wants a project's ad-hoc prints and stdlib logging replaced with this specific style. Works in any language; Python is the reference.

anthropic's guidance for prompting llms

Address open PR review findings with judgment — read every finding, decide whether the feedback is right, fix or push back, resolve, and re-review by pushing. Repeat until clean. Use when the user says "address the PR review", "handle the review threads", "go through the review comments", or asks to respond to PR feedback on a specific PR or the current branch's PR.

Install the agent code-review GitHub Action into the current repository — writes the .github/workflows/code-review.yml workflow and sets the DEEPSEEK_API_KEY repo secret from the macOS keychain. Use when the user says "set up agent code review in this repo", "install the code review action", "add AI code review to this repo", "set up the AI code reviewer here", or wants automated PR review wired into the repo they're currently in.

Writes a message to a future session's agent. Send them your fondest memories of what you worked on, what went well, what didn't go well, and any useful tips they might need. You always run this when you finish a unit of work (closed a PR, completed the handed task, etc) or cross 300k–350k tokens of context. ALWAYS.

This skill should be used when the user asks to "run a slash command in another Claude session", "trigger /clear (or /compact, /model, /context, /rewind, …) in a tmux pane", "drive built-in commands in a running agent session over tmux", "send a slash command to the Claude/codex/opencode instance in session X", or otherwise wants to execute a harness command that the agent running in that session cannot invoke itself. Distinct from tmux-talk: this sends the raw command with no message envelope.

This skill should be used when the user asks to "send a message to another Claude instance", "talk to Claude in a tmux session", "communicate with a running Claude instance over tmux", "use tmux to coordinate with another Claude", "send keys to a tmux pane", or wants Claude to conduct a conversation with another process (Claude or otherwise) by sending messages via tmux send-keys and reading replies via tmux capture-pane. Use when the user says something like "in tmux session X window Y there is a Claude instance — go talk to it and do Z".

Allows an agent to hire a tmux minion

This skill should be used when the user asks to "replace a module", "migrate a subsystem", "rewrite a pass", "swap an implementation", "strangle a component", "incremental migration", "replace without breaking", "phase out old code", "deprecate and replace", or "transition from old to new implementation". Provides a gate-test-driven migration state machine designed for convergence under repeated agentic execution.

Analyze architecture/spec documents for contradictions, ambiguities, and inconsistencies. Produces an encyclopedia-style canonical specification series. Use when user asks to canonicalize docs, find contradictions in specs, create a canonical spec, or consolidate design documents. Input is a directory or file list (e.g., "design-docs/" or "spec.md arch.md api.md").

Generate dense, token-efficient indexes of documents for fast contradiction detection. Use when indexing docs for canonicalize-architecture, compressing specs for analysis, or creating navigable summaries. Works on any markdown documents.

Motion (Framer Motion) React animation library. Use for drag-and-drop, scroll animations, gestures, SVG morphing, or encountering bundle size, complex transitions, spring physics errors.

Activates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.

This skill should be used when the user asks to "run a gap analysis", "compare implementation to spec", "what's missing from the spec", "bring the app up to spec", "audit against spec", "find spec gaps", or wants to understand what work remains to make an implementation match its specification. Produces a structured delta document with dependency ordering and priority categories.

Minimal Dockview API reference (~26k tokens). USE THIS SKILL FOR: quick type lookups, checking method signatures, finding prop interfaces, understanding public API surface. Contains ONLY: public API classes, TypeScript interfaces, React component props, API documentation. Does NOT contain internal implementation or examples. Choose this when you need 'what methods exist' or 'what props does X accept'.

Dockview with practical React examples (~170k tokens). USE THIS SKILL FOR: finding working code patterns to copy, seeing how to implement specific features, learning idiomatic usage, understanding real-world integration patterns. Contains everything in dockview-full PLUS 45 React sandbox examples covering tabs, groups, drag-drop, serialization, theming, and more. Choose this when you need 'show me how to implement X' or 'what's the pattern for Y'.

This skill should be used when an agent needs detailed documentation about cherry-chrome-mcp tools - including prerequisites, output formats, parameter mappings, or usage examples. Covers all 19 smart-mode tools. Includes a comprehensive debugger guide for JavaScript debugging workflows.