Read and write files in the shared session workspace. Use this to access files created by any skill — code-agent outputs, office documents, images, and more. All within the same isolated session.
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Provides unified read/write access to all files in the current session. The userId and sessionId are injected automatically — you only specify the logical path.
| Prefix | What it accesses |
|---|---|
code-agent/<file> | Files created by the code agent (auto-synced) |
code-interpreter/<file> | Files saved by code interpreter via output_filename |
documents/powerpoint/<file> | PowerPoint presentations |
documents/word/<file> | Word documents |
documents/excel/<file> | Excel spreadsheets |
documents/image/<file> | Images from other tools |
Note: Code interpreter only saves to workspace when
output_filenameis set inexecute_code. Files fromexecute_commandorfile_operationsstay inside the sandbox.
See everything in the session:
workspace_list()
workspace_list("code-agent/")
Read a file the code agent created:
workspace_read("code-agent/calculator.png") # binary → base64
workspace_read("code-agent/report.md") # text → string
Pass a file from one skill to another:
result = workspace_read("documents/excel/data.xlsx") # encoding: base64
workspace_write("code-agent/data.xlsx", result["content"], encoding="base64")
encoding: "text" with plain string contentencoding: "base64"workspace_write accepts both encodings — use "base64" for binaryPath conventions (userId/sessionId injected automatically):
code-agent/<file> — files from the code agentdocuments/powerpoint/<file> — PowerPointdocuments/word/<file> — Worddocuments/excel/<file> — Exceldocuments/image/<file> — imagesBinary vs text: images/PDFs/Office files are returned base64-encoded (encoding: "base64"); use the same encoding when writing them back.
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12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.
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Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
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Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
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Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
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This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
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AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
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