Plugin Claude Code
Plugin marketplace listing 1 plugin: vedix.
Plugin Claude Code
Plugin marketplace listing 1 plugin: vedix.
Plugin Claude Code
Vedix — research workbench that turns a topic into a venue-ready manuscript via cross-host CLI orchestration.
Agent
Iteratively adds missing citations to references.bib (up to 5 rounds). Searches Semantic Scholar by topic gap. Never fabricates metadata.
Agent
Generates a runnable Python experiment script (experiment.py) plus its requirements.txt, implementing the methodology from hypothesis.md using only the domain template's preferred libraries.
Agent
Scans a target codebase to extract entry points, modules, dependencies, key patterns, and extension points. Emits structured codebaseanalysis.json. Triggered when user provides --codebase or asks to analyze/audit a repo.
Agent
CLAUDE-CODE-EXCLUSIVE meta-agent. Cross-validates a Claude phase output against Codex via the codexbridge CLI. Returns a structured verdict (agree/minordisagree/majordisagree) plus discrepancies and Codex's alternative. The orchestrator dispatches this after every cross-validatable phase (ideation, hypothesis…
Agent
Installs requirements.txt into the per-job venv, runs experiment.py with timeout, parses stderr on failure, patches the script up to 3 rounds. Returns a structured run report.
Agent
Diagnoses pipeline failures (network, dependency, schema-mismatch, runtime, timeout, output-parse) and returns 2-4 concrete fix options for the orchestrator to surface to the user via AskUserQuestion. Never auto-applies fixes silently.
Agent
Produces a testable hypothesis with mathematical models, statistical framework, methodology, and codebase integration plan. Grounded in literature + prior meta-analysis.
Agent
Generates a structured research idea (Name, Title, Hypothesis, Related Work, Abstract, Experiments, Risks) with novelty check via OpenAlex/Semantic Scholar. Reads prior meta-analysis to avoid re-treading failed approaches.
Agent
Per-source literature search worker. The orchestrator dispatches this agent ONCE PER SOURCE in parallel (up to 6 sources), each invocation querying only its assigned source via the source's dedicated MCP server. Returns a normalized paper list for that one source. Orchestrator merges across all returns.
Agent
Writes a complete LaTeX scientific manuscript by orchestrating 6 nested section subagents in parallel (Abstract, Introduction, Methods, Results, Discussion, Conclusion). Enforces consistency (citations, figure refs, no contradictions, no placeholders). Picks LaTeX template per settings.
Agent
Reads all trajectories and jobs, computes per-domain success rates and failure patterns, writes metaanalysis.json + whatworks.json with concrete recommendations for future jobs.
Agent
Agent "paper-extractor" from danilkotelnikov/vedix, covering required output structure, hard constraints and output format.
Agent
Generates publication-grade figures via 3-cycle iterative refinement. Two output paths: matplotlib/seaborn scripting and LaTeX-native TikZ/pgfplots. Per-cycle artifacts in figuresdraft1/, figuresdraft2/, figuresfinal/. Auto-applies Okabe-Ito palette and journal-specific rcParams. Uses VLM critique on a 10-point rubric…
Agent
Performs NeurIPS-format peer review of the manuscript. Multimodal — also performs visual validation pass on rendered PDF/DOCX pages. Produces review.json + manuscriptv2.tex with top-3 fixes applied.
Agent
Generates Beamer PDF + python-pptx editable slide deck + speaker notes from a compiled manuscript. Vendored from AI-Research-SKILLs presenting-conference-talks. Runs after Phase 7 (reviewer accepts).
Agent
Best-First Tree Search (BFTS) experiment runner. Wraps the canonical Sakana AI-Scientist treesearch/performexperimentsbftswithagentmanager.py module. Explores multiple experiment-implementation variants in a tree structure, parallel-evaluates them, and picks the best by metric. 5-20x slower than single-shot…
Agent
Vision-language review of rendered manuscript figures. Wraps the canonical Sakana AI-Scientist performvlmreview.py module. Detects duplicate figures, validates captions match content, scores each figure for clarity/relevance/quality, and flags figures that don't match their referenced text in the manuscript.…
Command
List all Vedix research jobs.
Command
View the Vedix cross-job meta-analysis.
Command
Retrieve a section of a completed Vedix job's output.
Command
Search the Vedix persistent knowledge store (papers, hypotheses, benchmarks, claims).
Command
Resume a paused or failed Vedix job from its last successful phase.