菜单
MANDATORY for any task involving reading, analyzing, summarizing, reviewing, or extracting content from a PDF file. Triggers on any PDF input regardless of size. This skill replaces the default PDF reading behavior with a reliable chunked extraction method.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when the user wants an external second opinion on a plan from the strongest available ChatGPT model via codex, or says "send the plan to GPT", "get ChatGPT to review my plan", "codex review of the plan", "external review of the plan", "second opinion on the plan from GPT", "/review-plan-codex", or wants a cross-model critique round run as a standalone step on any plan (not just empirical Bob plans). Codex runs the convergence loops; Claude supplies the independent critique; each model's findings are audited by the other.
Use when the user wants automated iterative plan review with convergence detection (multiple review passes without manual approval between iterations) OR wants to audit a plan's adversarial-agent contract (check that Adversary, Verifier, audit-readiness, or determinism agents are wired always-on, not conditionally gated). Triggers on "auto-review the plan", "iterate on plan review", "review my plan thoroughly", "keep reviewing until it's tight", "/review-plan-auto", "check whether my adversarial agents will actually fire", "audit how the plan wires the Adversary", "stress-test the safety machinery in my plan", "is this plan safe for an overnight run", "verify the plan's adversarial-agent contract", "make sure the Adversary in this plan is not just a deterministic check", or any case where the user would otherwise run `/review-plan` repeatedly.
Use when the user wants to verify whether the citations in a LaTeX or markdown manuscript actually support the claims they're attached to, or wants a citation audit against their .bib. Triggers on "check my citations", "verify references", "citation audit", "do my citations actually support what I wrote", "audit bibliography against claims", or "/lit-review-verify". Not for producing a literature review or finding related papers (use /lit-review), and not for cleaning bib metadata (use /clean-bib).
Use when the user wants to stress-test, critique, or pressure-check a plan document — catch blind spots, missing steps, and unstated assumptions. Triggers on "review my plan", "stress-test the plan", "critique this plan", "what am I missing", "expert review of the plan", or "/review-plan". Runs structured expert critique, best-practice research, and optional fresh-context subagent review.
Use when the user says "restart", "wrap up", "snapshot before clearing", "pickup notes", "session recap", "session log", or wants to clear context and resume current work in a fresh conversation. Writes a structured restart.md to the project root, led by a Created / Sent / Waiting / Next recap and keeping goal, decisions, open items, files touched, and verification commands, appends that recap to a running SESSION_LOG.md, then instructs the user to type /clear.
Use when the user asks to audit, review, or check Stata dofiles for macro definitions, undefined paths, internal consistency, or unused variables. Triggers on "audit code", "audit dofiles", "check my Stata code", "audit my Stata project", or "/audit-code".
| name | pdf-chunker |
| description | MANDATORY for any task involving reading, analyzing, summarizing, reviewing, or extracting content from a PDF file. Triggers on any PDF input regardless of size. This skill replaces the default PDF reading behavior with a reliable chunked extraction method. |
MANDATORY FIRST STEP FOR ANY PDF: Run the extraction script BEFORE attempting to read or analyze PDF content. Do not skip this step. Do not try to read the PDF directly.
python <skill_path>/scripts/extract_pdf.py <pdf_path> --output /tmp/extracted.txt
Then read /tmp/extracted.txt for all subsequent analysis.
This applies to ALL PDFs — small or large. Never attempt to load a PDF into context by any other method.