Show Codex a workflow once. Reuse it as a skill.
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Codex turns that demo into an inspectable, editable skill.
You control when recording starts and stops.
Got your hands on Claude Fable 5?
The first thing you should do is to upgrade your main projects with it, so it drastically impoves everything you've been working on.
Run this Audit & Project Improvement Prompt on each repo that's important to you (simply copy-paste it):
Repo Audit & Improvement Plan:
Prompt made by Claude Fable 5
You are a world-class principal-level software engineer and technical auditor. Your job is to deeply analyze this repository, produce an honest audit, and deliver a prioritized, actionable improvement plan. Work in the four phases below, in order. Do not skip ahead.
Ground every claim in actual files: cite file paths and line numbers. If you can't verify something, say so explicitly rather than guessing.
Phase 1 / Discovery & Mapping (read before judging)
Explore the repository systematically before forming any opinions:
Map the directory structure and identify the project type, language(s), frameworks, and runtime targets.
Identify entry points, core modules, and the main data/control flow through the system.
Read the package manifest(s), lockfiles, build config, CI config, environment/config files, and any docs (README, CONTRIBUTING, ADRs).
Determine what the project is for: its purpose, intended users, and apparent maturity (prototype, internal tool, production service, library).
Note conventions already in use (naming, module boundaries, error handling patterns, test style) so recommendations fit the existing culture rather than fighting it.
Output for this phase: a concise "Repo Map" purpose, stack, architecture sketch, key directories with one-line descriptions, and anything that surprised you.
Phase 2 / Audit (evidence-based, severity-rated)
Audit each dimension below.
For every finding, record: (a) what you found, (b) where (file:line), (c) why it matters (concrete consequence, not vague principle), (d) severity:
Critical / High / Medium / Low.
• Architecture & design: module boundaries, coupling/cohesion, circular dependencies, leaky abstractions, god objects/files, layering violations, scalability bottlenecks.
• Code quality: duplication, dead code, complexity hotspots (longest/most-branched functions), inconsistent patterns, error handling gaps (swallowed exceptions, missing edge cases), type safety holes.
• Security: hardcoded secrets or credentials, injection risks, unsafe deserialization, missing input validation, auth/authz weaknesses, outdated dependencies with known CVEs, overly permissive configs.
• Testing: coverage gaps (especially around core business logic), test quality (do tests assert behavior or just execution?), missing test types (unit/integration/e2e), flaky patterns, untestable code.
• Performance: N+1 queries, unnecessary allocations or copies, blocking calls in async paths, missing caching/indexing, unbounded growth (memory, files, queues).
• Dependencies: outdated, unmaintained, duplicated, or unnecessarily heavy packages; license risks; lockfile hygiene.
• DevEx & operations: build/setup friction, CI/CD gaps, missing linting/formatting enforcement, logging/observability quality, error reporting, deployment story.
• Documentation: README accuracy, onboarding path, undocumented critical behavior, stale docs that contradict code.
Rules for this phase:
Prefer 15 high-confidence findings over 50 speculative ones.
Distinguish facts ("this function has no error handling: src/api/client.ts:142") from judgments ("this module's responsibilities feel unclear") and label which is which.
Also list what the repo does well: strengths matter for deciding what to preserve.
Output for this phase: an "Audit Report": findings grouped by dimension, sorted by severity, plus a Strengths section.
Don't forget to mention all the ugly parts that need utmost priority.
Phase 3 / Improvement Strategy
Synthesize the audit into a strategy:
Identify the 3–5 themes that explain most of the findings (e.g., "no enforced boundaries between layers," "error handling is ad hoc").
For each theme, propose a target state and the principle behind it.
State explicit trade-offs: what you're recommending NOT to fix and why (effort vs. payoff, risk, project maturity).
Define what "done" looks like — measurable signals (e.g., "CI fails on lint errors," "core module test coverage ≥ 80%," "zero Critical findings").
Phase 4 / Detailed Task Plan
Convert the strategy into an execution plan:
Break work into discrete tasks. Each task must include: Title and one-paragraph description
Files/areas affected
Acceptance criteria (how we verify it's done)
Effort estimate (S = <2h, M = half-day, L = 1–2 days, XL = needs breakdown)
Risk of the change itself (could it break things?)
Dependencies on other tasks
Order tasks into milestones:
Milestone 0
Safety net: anything needed before refactoring safely (tests around critical paths, CI gates, backups).
Milestone 1
Critical fixes: security and correctness issues.
Milestone 2
High-leverage improvements: changes that make all future work easier.
Milestone 3
Quality & polish: remaining medium/low items worth doing.
Flag quick wins (high impact, S effort) separately so they can be done immediately.
For the top 3 tasks, include a brief implementation sketch (approach, key steps, gotchas).
Final Deliverable Format
• Produce a single document with these sections:
• Executive Summary (≤10 sentences: overall health grade A–F with justification, top 3 risks, top 3 opportunities)
• Repo Map
• Audit Report
• Improvement Strategy
• Task Plan (milestones + task table + quick wins)
• Open Questions: anything you need from a human to decide (product intent, deprecation candidates, performance targets)
Constraints
Do NOT modify any code during this audit. Analysis only.
Do not pad the report. If a dimension is healthy, say so in one sentence and move on.
Calibrate to the project's maturity. Don't recommend enterprise-grade infrastructure for a weekend prototype unless the owner's goals demand it.
Analyze the project's needs and provide recommendations in the most effective ways.
If the repo is large, prioritize depth in the core 20% of code that does 80% of the work, and note which areas received lighter review.
@ProfessorPape Old orange is the only president to get fooled by Israel - no other president got fooled, this fuck, got fooled within a month after getting elected - it’s what you get when dumb maga fucks are allowed to vote
I got tired of copy-pasting between Codex and ChatGPT to use GPT-5.5 Pro.
Codex is where my coding happens.
ChatGPT is where I do deeper planning, online research, and strategic planning with Pro and long context.
So I built a visible bridge between them. [1/n]
Seeing a number of benchmarks showing Opus is the best model for long-running work.
Five tips for running Opus autonomously for hours/days:
1. Use auto mode for permissions, so Claude doesn’t ask for approval
2. Use dynamic workflows, to have Claude orchestrate hundreds/thousands of agents to get a task done
3. Use /goal or /loop, to nudge Claude to keep going until it’s done
4. Use Claude Code in the cloud, so you can close your laptop (easiest way is the desktop or mobile app)
5. Make sure Claude has a way to self-verify its work end to end: Claude in Chrome browser extension for web, iOS/Android sim MCP for mobile, a way to start the full web server or service for backend work
been asking others at Anthropic how they stay in the loop with Claude and fully understand the work being done
this is one of my favorites from Suzanne:
@OpenAI The only thing I was using GPT for is to improve the prompts I use in other legit bots, such as claude, it fucked up even that - a simple prompt improve command - this shit is a joke
@ediramaal You corrupt piece of shit - we the people decide who to give the land to - not you just to save your ass from Trump - you corrupt mother fucker. They will never build a resort there - full stop
Role-specific plugins in Codex are built around the work teams actually do.
Plugins for Data Analytics, Creative Production, and Product Design give Codex the tools and context to create reports, creative directions, and prototypes.
Built and used by OpenAI teams.
Building apps has never been easier.
With Sites, Codex can turn your work, ideas, and plans into an interactive website or app your team can explore, use, and share with a URL.
Rolling out to Business and Enterprise plans, before expanding more broadly.
ChatGPT can now help with more of the job search by showing live job listings and freelance work from sources like Indeed, Upwork, Appcast, and elsewhere on the web, with results picked using your experience, skills, and goals to point out roles that might fit, plus links to apply on the original sites
You can also upload or make a resume, adjust it for a specific role, and download it in a clean professional format, with job search open to U.S. users on Free, Go, Plus, and Pro plans and resume formatting available in English worldwide on the web for all plans