Long-running AI projects lose decisions and working state across sessions. This skill provides retrieval, ranking, token budgeting, and validation patterns for restoring useful context.

Library guidance becomes outdated as frameworks change. This skill retrieves current documentation through Context7 during AI coding conversations.

Marketing teams need consistent content plans across search, email, and social channels. This skill turns goals, audiences, and offers into practical content strategies.

Conductor projects can drift when tracks, plans, and required files are missing. This skill guides Claude, Codex, and Claude Code through focused checks for project readiness.

Confluence work often requires repeated searches, ID lookup, and precise storage format updates. This skill guides Claude, Codex, and Claude Code through Rube MCP workflows.

Conductor projects can become hard to scan when tracks, tasks, and blockers are spread across several files. This skill turns local Conductor planning documents into a clear status report with current focus and next actions.

New projects often lack shared product, workflow, and tech stack context. This skill guides Q&A and creates Conductor artifacts for Claude, Codex, and Claude Code workflows.

Git reversions can be hard to scope when work is grouped by tracks, phases, and tasks. This skill guides safe commit discovery, confirmation, git revert execution, and Conductor status updates.

New engineering work often starts without clear scope or acceptance criteria. This skill gathers inputs and produces Conductor specs, plans, metadata, and track links.

Conductor repositories can accumulate stale tracks, archived work, and inconsistent metadata. This skill guides Claude, Codex, and Claude Code through track lifecycle operations.

Conductor tracks can drift when tasks, tests, and metadata are updated by hand. This skill guides Claude, Codex, or Claude Code through TDD implementation, checkpoints, commits, and progress updates.

Planning coding work can become vague and hard to execute. This skill turns requests into scoped, ordered checklists with validation steps.

Modern vision projects require choices across detection, segmentation, VLMs, depth, and deployment. This skill guides architecture, model selection, optimization, and edge deployment for practical computer vision systems.

Computer use agents need safe designs before they control screens, keyboards, and files. This skill provides implementation patterns, sandbox guidance, and Claude tool examples for safer GUI automation.

Pull requests often lack context, test evidence, and reviewer guidance. This skill creates structured PR material that helps reviewers act faster.

Large code changes can hide quality, security, performance, and testing risks. This skill coordinates a phased review workflow that turns those risks into prioritized action.

Competitive analysis often becomes scattered across competitor notes, pricing tables, and positioning ideas. This skill guides Claude, Codex, and Claude Code through structured frameworks that turn market evidence into clear strategy.

Code reviews can miss regressions, risky refactors, and release notes. This skill guides Codex, Claude, and Claude Code through review and CHANGELOG workflows.

Code reviews can miss important risks or become hard to act on. This skill gives Claude, Codex, and Claude Code a structured review method with clear severity, rationale, and follow-up questions.

Code reviews can miss bugs, security issues, and test gaps when reviewers work from memory. This skill provides a structured checklist and comment templates for consistent reviews.