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agent-figure-gallery

Query visual scientific figure references, show candidates for human preference selection, export selected reference bundles, and guide plotting agents from human-selected visual examples to code action.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name agent-figure-gallery description Query visual scientific figure references, show candidates for human preference selection, export selected reference bundles, and guide plotting agents from human-selected visual examples to code action. Agent Figure Gallery Core Rule Treat this skill as a lightweight controller. Do not load the full visual corpus into the skill. Use AGENT_FIGURE_GALLERY_ROOT or DRAWING_KB_ROOT to point at the external AgentFigureGallery knowledge base. Key Files KB root: AGENT_FIGURE_GALLERY_ROOT=/path/to/AgentFigureGallery CLI: agentfiguregallery or python -m agentfiguregallery.cli Gallery server: backend command that serves the reference gallery on localhost Candidate index: data/reference_candidate_index.json Global preferences: data/reference_global_preferences.json Reference sessions: outputs/reference_sessions/ Minimal Workflow Resolve the KB root: export AGENT_FIGURE_GALLERY_ROOT=/path/to/AgentFigureGallery Query before reading individual references: agentfiguregallery query --task "<user task>" Generate visible candidates: agentfiguregallery gallery --plot-type <plot_type> --task "<user task>" -- limit 50 --serve Record human preferences: agentfiguregallery prefer --session outputs/reference_sessions/<session_id> --like <ID> --reject <ID> -- select <ID> Export a selected bundle: agentfiguregallery bundle --session outputs/reference_sessions/<session_id> --copy-scripts Use the bundle before writing or revising plotting code. Preference Semantics like : useful for this task or plot type. reject : not useful for this task or plot type. select : use this candidate for the current agent action. global_like : generally useful across tasks. global_reject : hide from future sessions. Local preferences must preserve plot_type . Global preferences are cross-task. Validation After changing the CLI, gallery, preference logic, or bundle export: agentfiguregallery gallery --plot-type embedding_plot -- limit 20 --serve agentfiguregallery prefer --session outputs/reference_sessions/<session_id> --like E01 -- select E02 agentfiguregallery bundle --session outputs/reference_sessions/<session_id> Success means visible candidates render, stable IDs are shown, preferences persist, global rejects are hidden from later generated sessions, and the bundle contains selected references plus source code paths.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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