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Found 835 Skills
Delegate coding, review, diagnosis, planning, structured output, and native browser research tasks to independent Codex sessions via Codex CLI. Use cases include creating new tasks with `codex exec`, resuming multi-turn sessions with `codex exec resume`, performing read-only reviews with `codex exec review`, as well as scenarios requiring `--json` event streams, `-o` final message persistence, image input, or Computer Use browser operations.
Summarize Codex token usage from local Codex Desktop or CLI session JSONL logs. Use when the user asks to count, audit, total, compare, or report Codex/OpenAI token usage for a period such as today, this week, last month, a calendar month, a rolling 30-day window, peak week, peak day, input/output/cached/reasoning breakdown, or net token usage.
Count the Tokens consumed by the local Codex in recent time by task purpose dimension, and output a Chinese table including model and category proportions; output the Faster x2 status only when explicit session-level fields exist.
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
Generate a Codex Wrapped usage recap from local Codex logs, including last 30 days, last 7 days, and an all-time focus-hours callout. Use when the user asks for a usage summary, activity recap, or Codex Wrapped report.
This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the oracle", or mentions using an AI oracle for planning or code review. NOT for implementation tasks.
Invokes Codex CLI as a second opinion. Use for reviewing plans, code, architectural decisions, or getting an independent perspective from OpenAI's reasoning models.
Use Codex CLI in full-auto mode to fix issues iteratively until tests pass. Autonomous debugging and test-fixing loop with sandbox safety.
【WHEN】Activate when the user's command explicitly includes instructions such as "codex collaboration", "codex coordination", "work with codex", etc.; 【WHEN】Activate when the user requests to use the codex MCP tool for collaborative development scenarios such as code analysis, prototype generation, review, etc. 【WHEN NOT】Not applicable for standalone code implementation tasks, pure document writing, or regular development processes that do not involve codex.
Multi-instance (Multi-Agent) orchestration workflow for deep research: Split a research goal into parallel sub-goals, run child processes in the default `workspace-write` sandbox using Codex CLI (`codex exec`); prioritize installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + key conclusions/recommendations summary". Applicable to: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-Agent parallel research/multi-process research".
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in parallel.
Ask Codex via local CLI and capture a reusable artifact