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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
ar9av avatar

Outline Agent

ar9av/paperorchestra
572 stars
Summary

This is the first stage of the PaperOrchestra pipeline from arXiv:2604.05018, a research paper workflow system. It reads your raw materials (idea document, experimental logs, LaTeX template, conference guidelines) and produces a strict JSON outline with three components: a plotting plan that specifies figure types and data sources, a literature search strategy that separates intro breadth from related work depth, and a section-by-section writing plan with mandatory citation hints for every dataset and model mentioned. The implementation is faithful to the paper's appendix, down to enforcing timeline cutoffs so you don't cite work published after your conference deadline. Validation is strict because downstream agents depend on the schema. Use this when you want structured planning before writing, not freeform drafting.

Install to Claude Code

npx -y skills add ar9av/paperorchestra --skill outline-agent --agent claude-code

Installs into .claude/skills of the current project.

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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
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Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
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Monitor with ease. Code with confidence.
Start Free Trial →
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Files
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Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
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Monitor with ease. Code with confidence.
Start Free Trial →
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Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
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create and run specialised agents in minutes
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Categories
DevOps & CI/CDDocumentationAI & Agent BuildingData Science & MLProductivity & PlanningAutomation & WorkflowsSales & Marketing
First SeenJun 11, 2026
View on GitHub

More from ar9av/paperorchestra

All 9 skills →
  • Paper Autoraters
  • Paper Orchestra
  • Paper Writing Bench
  • Plotting Agent
  • Section Writing Agent
  • Agent Research Aggregator
  • Content Refinement Agent
  • Literature Review Agent

Recommended

More DevOps & CI/CD →
ar9av avatar
paper-orchestra

ar9av/paperorchestra

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
572
ar9av avatar
plotting-agent

ar9av/paperorchestra

Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".
572
ar9av avatar
section-writing-agent

ar9av/paperorchestra

Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".
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awslabs avatar
amazon-location-service

awslabs/agent-plugins

Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.
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awslabs avatar
aws-transform

awslabs/agent-plugins

Migrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. Use when the user says "migrate .NET to AWS", "upgrade Java to 17/21", "modernize COBOL", "modernize mainframe", "move VMware to EC2", "convert SQL Server to Aurora", "upgrade Python version", "migrate AWS SDK", or "transform this codebase". Don't use for infrastructure provisioning, CI/CD pipelines, or general coding tasks.
783
awslabs avatar
dsql

awslabs/agent-plugins

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django/Hibernate/Rails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.
783