بنقرة واحدة
ocmm
يحتوي ocmm على 27 من skills المجمعة من hugefiver، مع تغطية مهنية على مستوى المستودع وصفحات skill داخل الموقع.
Skills في هذا المستودع
Use after all implementation tasks complete, after major features are integrated, or before merging to verify work meets requirements
MUST USE when the user asks for deepwork-style planning, multi-agent execution, code review, research, or workflow routing inside Codex.
Use when executing implementation plans with independent tasks in the current session
Use after all implementation tasks complete, after major features are integrated, or before merging to verify work meets requirements
Use when executing implementation plans with independent tasks in the current session
Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when you have a spec or requirements for a multi-step task, before touching code
Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when you have a spec or requirements for a multi-step task, before touching code
MUST USE for ANY frontend, web UI, UX, or visual work — building, styling, or redesigning pages/components, React project setup, performance audits, design QA. Routes three rulesets: design (anti-slop taste router over 12 taste skills + 70 brand DESIGN.md refs — Apple, Stripe, Linear, Notion, Vercel, Claude, Nike, Aside — plus React dev tooling gate: react-grab, react-scan, react-doctor), perfection (Lighthouse 100 in every category via real Playwright Chromium audits, NEVER the lighthouse CLI, never by weakening UX), ui-ux-db (searchable 50+ styles, 97 palettes, 57 font pairings, 99 UX guidelines). Triggers: frontend, UI, UX, design, redesign, styling, layout, animation, motion, taste, premium, luxury, minimal, brutalist, Awwwards, anti-slop, polish, DESIGN.md, mockup, react setup, react-scan, react-doctor, lighthouse, performance, Core Web Vitals, LCP, CLS, INP, SEO, accessibility, a11y, WCAG, audit my site, make this faster, color palette, font pairing, looks generic, make it pretty, like X brand, clone si
MUST USE for ANY frontend, web UI, UX, or visual work — building, styling, or redesigning pages/components, React project setup, performance audits, design QA. Routes three rulesets: design (anti-slop taste router over 12 taste skills + 70 brand DESIGN.md refs — Apple, Stripe, Linear, Notion, Vercel, Claude, Nike, Aside — plus React dev tooling gate: react-grab, react-scan, react-doctor), perfection (Lighthouse 100 in every category via real Playwright Chromium audits, NEVER the lighthouse CLI, never by weakening UX), ui-ux-db (searchable 50+ styles, 97 palettes, 57 font pairings, 99 UX guidelines). Triggers: frontend, UI, UX, design, redesign, styling, layout, animation, motion, taste, premium, luxury, minimal, brutalist, Awwwards, anti-slop, polish, DESIGN.md, mockup, react setup, react-scan, react-doctor, lighthouse, performance, Core Web Vitals, LCP, CLS, INP, SEO, accessibility, a11y, WCAG, audit my site, make this faster, color palette, font pairing, looks generic, make it pretty, like X brand, clone si
Use ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
MUST USE whenever a task needs a commit or git-history investigation. Covers atomic commits, staging, commit-message style, rebase, squash, fixup/autosquash, blame, bisect, reflog, git log -S/-G, and questions like who wrote this or when was this added. Do not use for ordinary code edits unless the user asks for git work.
(builtin) Initialize hierarchical AGENTS.md knowledge base
Remove AI-generated code slop from branch changes or an explicit file list. Locks behavior with regression tests FIRST, then runs categorized cleanup via parallel task agents in batches of 5, then verifies with quality gates. Covers 10 slop categories. MUST USE when the user asks to "remove slop", "clean AI code", "deslop", "clean up AI-generated code", "remove AI slop", or wants to clean up AI-generated patterns.
Use ONLY when the user explicitly asks to use a git worktree for isolated feature work. Do not auto-trigger. Creates a linked worktree, sets up the project, and verifies a clean baseline before development begins.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.
Use ONLY when the user explicitly asks to use a git worktree for isolated feature work. Do not auto-trigger. Creates a linked worktree, sets up the project, and verifies a clean baseline before development begins.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Remove AI-generated code slop from branch changes or an explicit file list. Locks behavior with regression tests FIRST, then runs categorized cleanup via parallel task agents in batches of 5, then verifies with quality gates. Covers 10 slop categories. MUST USE when the user asks to "remove slop", "clean AI code", "deslop", "clean up AI-generated code", "remove AI slop", or wants to clean up AI-generated patterns.
(builtin) Initialize hierarchical AGENTS.md knowledge base
Use ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.
MUST USE whenever a task needs a commit or git-history investigation. Covers atomic commits, staging, commit-message style, rebase, squash, fixup/autosquash, blame, bisect, reflog, git log -S/-G, and questions like who wrote this or when was this added. Do not use for ordinary code edits unless the user asks for git work.