Draft a pull request description from existing project records and verification results. Present the change with a compact visual, before-and-after evidence, rollback details, and its wider impact so reviewers can assess the work.
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Create separate Git working directories for issue fixes, pull request reviews, and feature development. Optional tmux terminal sessions help manage parallel tasks, return to ongoing work, and clean up completed sessions.
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Break a development task into small requirements with explicit acceptance criteria, then repeat implementation and verification while saving progress. Completion depends on evidence for each requirement and reviewer approval, with configurable reviewers and a final cleanup check.
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Turns vague development requests into reviewed plans through planning, architecture, and quality-review agents. It compares alternatives, defines testable acceptance criteria, and records decisions, stopping before implementation unless execution has been explicitly approved.
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Review records across OMC sessions to find recurring obstacles in the agent's working environment. It turns evidence from timelines, logs, and notes into ranked proposals for checks, guidance, tools, or information access, with changes requiring user approval.
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Prepare and guide software releases using rules discovered in the project and its automated build workflows. It tracks version files, helps draft release notes, runs release steps with confirmation, and checks the published result.
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Organize useful findings from a session and save them in the right place: project memory, temporary notes, or lasting documentation. The skill separates reusable facts from working context and flags duplicate, outdated, or conflicting information.
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Investigate questions that need answers before work can proceed. Search repository code and documents, consult official technical documentation, and return sourced findings that separate verified facts, inferences, conflicting evidence, and remaining unknowns.
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Review completed code changes for defects, security risks, unnecessary complexity, and missing tests. Findings are verified and reported with severity, file locations, and concrete failure scenarios, with separate assessments of standards and intended behavior for larger changes.
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Run repeated code improvement experiments with multiple agents. It plans and reviews candidate changes, compares benchmark results, merges candidates that pass rechecking, and records progress until a target, iteration limit, or another stopping condition is reached.
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Manage local oh-my-claudecode skills through commands and guided prompts. List and search available skills, create or edit custom ones, and compare or copy skills between personal and project folders to organize reusable instructions.
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Turn a successful workflow from the current session into a reusable OMC skill draft. Capture inputs, ordered steps, decision rules, pitfalls, and verification evidence, then choose an appropriate storage location.
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Develop behavior through one failing test and one minimal implementation at a time. Tests use agreed interfaces and expected results from specifications or documented examples, producing evidence of both failure and success, including for bug fixes.
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Coordinate multiple agents on a shared task list to complete development work. Break tasks into clear responsibilities, manage dependencies, and move through planning, implementation, verification, and bounded repair cycles with recorded handoffs.
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Investigate why a bug, performance change, or experimental result occurred. Compare competing explanations using supporting and contradicting evidence, rank likely causes, and identify the next check that would best resolve uncertainty.
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Break a large development brief into ordered goals and save plans, progress events, blockers, and evidence in the repository. Coordinate Claude Code sessions through handoff instructions, with final completion requiring cleanup, verification, and code review evidence.
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Check whether a feature, fix, or refactor actually works using existing tests, build checks, direct commands, or manual validation. Get a concise account of the evidence, including what passed, what failed, and what remains unverified.
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Compare a UI screenshot with reference images and receive a structured JSON assessment. Get a score, pass or revision status, concrete visual differences, and suggested edits for layout, spacing, typography, colors, and visual hierarchy.
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Build a lasting Markdown knowledge base for project decisions, architecture, and session discoveries. Search pages by keywords and tags, use results to answer with citations, and check for outdated content, broken links, and structural problems.
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Documents a codebase with linked AGENTS.md files that explain each directory, important files, dependencies, and working rules. It can also update existing documentation while preserving human-written notes and checking that the document hierarchy remains consistent.
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Explain code structure, execution flow, and proposed changes with a focused visual, such as pseudocode, a tree, a Mermaid diagram, or a diff. Use a single HTML artifact when a richer layout is needed.
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Keep code changes small by checking whether they are needed, reusing existing helpers, and choosing standard or available tools first. It guides planning and implementation while preserving validation, security, accessibility, and the functionality the user requested.
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Turn an unclear idea into linked decision tickets on a repository’s issue tracker. Work through one decision per session, record outcomes and dependencies, and prepare a brief defining the objective, scope, and exclusions for delivery.
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Guide a development brief through specification, dependent tickets, implementation, review, and verification. Coordinate parallel work while keeping human approval at key decisions and recording agreed vocabulary, business rules, and the reasons behind technical choices.
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