Development
#agent
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
Get
https://deepseekmodel.com/api/download.php?id=dsadd4-agentfiguregallery-skills-agent-figure-gallery-skill-md&format=skill
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.
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
The same skill can be exported in different platform formats.