This branch was originally created from feat/markdown-mermaid-writing-skill
for development purposes, but the timesfm-forecasting skill should be
independent of PR #50.
- Remove scientific-skills/markdown-mermaid-writing/ directory
- Remove reference to markdown-mermaid-writing from SKILL.md integration section
- This PR now stands alone and does not require PR #50 to be merged first
Model weights (~800 MB) download on-demand from HuggingFace when skill
is first used. Preflight checker ensures sufficient resources before
any download begins.
Add comprehensive TimesFM forecasting skill with mandatory system
preflight checks (RAM/GPU/disk), end-to-end CSV forecasting script,
full API reference, data preparation guide, and hardware requirements
documentation. Supports TimesFM 2.5 (200M), 2.0 (500M), and legacy
v1.0 with automatic batch size recommendations based on hardware.
Per borealBytes review comment, removing the docs/project directory
from this PR since only the skill content should be included.
The docs/project content remains in my local fork for reference.
Refs: PR #50
Added '## ⚠️ Common pitfalls' section covering:
- Radar chart syntax (radar-beta vs radar, axis vs x-axis, curve syntax)
- XY Chart vs Radar syntax comparison table
- Accessibility notes for diagrams that don't support accTitle/accDescr
Prevents the x-axis → radar-beta confusion that occurred in the example
research report.
Changed from invalid 'radar' with 'x-axis' syntax to proper 'radar-beta'
syntax with axis/curve keywords as per references/diagrams/radar.md.
Also removed accTitle/accDescr (radar-beta doesn't support them) and
added italic description above the code block per accessibility requirements.
All instances of 'Boreal Bytes' updated to 'borealBytes' (as @borealBytes
in narrative context) across issue, PR, kanban, and SKILL.md.
Files: issue-00000050, pr-00000050, SKILL.md
GitHub issue/PR counter on K-Dense-AI/claude-scientific-skills is at 49.
Renumbered all tracking docs to #50 (next available):
- issue-00000050-markdown-mermaid-skill.md (renamed from 00000001)
- pr-00000050-markdown-mermaid-skill.md (renamed from 00000001)
- kanban/feat-00000050-markdown-mermaid-skill.md (new)
Cross-references updated throughout. PR record now links to kanban board.
Upstream PR URL set to https://github.com/K-Dense-AI/claude-scientific-skills/pull/50
All 40 references to borealBytes/opencode updated to the correct source:
https://github.com/SuperiorByteWorks-LLC/agent-project
Affected files: SKILL.md, all 24 diagram guides, 9 templates, issue and PR
docs, plus assets/examples/example-research-report.md (new file).
The example report demonstrates full skill usage: flowchart, sequence,
timeline, xychart, radar diagrams — all with accTitle/accDescr and
classDef colors, no %%{init}. Covers HEK293T CRISPR editing efficiency
as a realistic scientific context.
New skill establishing markdown + Mermaid diagrams as the default and
canonical documentation format for all scientific skill outputs.
Core principle (from K-Dense Discord, 2026-02-19): Mermaid in markdown
is the source of truth — text-based, version-controlled, token-efficient,
universally renderable. Python/AI images are downstream conversions only.
SKILL.md includes:
- Full 'source format' philosophy with three-phase workflow diagram
- 24-entry diagram type selection table with links to each guide
- 9-entry document template index
- Per-skill integration guides (scientific-schematics, scientific-writing,
literature-review, and any other output-producing skill)
- Quality checklist for finalizing documents from any skill
- Full attribution for ported Apache-2.0 content
Originated from conversation between Clayton Young (Boreal Bytes) and the
K-Dense team regarding documentation standards for shared scientific skills.
All content ported from borealBytes/opencode under Apache-2.0 license with
attribution headers prepended to each file.
- references/markdown_style_guide.md (~733 lines): full markdown formatting,
citation, collapsible sections, emoji, Mermaid integration, and template
selection guide
- references/mermaid_style_guide.md (~458 lines): full Mermaid standards —
emoji set, classDef color palette, accessibility (accTitle/accDescr),
theme neutrality (no %%{init}), and diagram type selection table
- references/diagrams/ (24 files): per-type exemplars, tips, and templates
for all Mermaid diagram types
- templates/ (9 files): PR, issue, kanban, ADR, presentation, how-to,
status report, research paper, project docs
Source: https://github.com/borealBytes/opencode
Documents the feature request to add a skill establishing markdown+Mermaid
as the canonical source format for scientific documentation. Includes the
originating K-Dense Discord conversation, three-phase workflow diagram
(Mermaid → Python → AI images), acceptance criteria, and technical spec
for the skill directory structure.
Files touched: docs/project/issues/issue-00000001-markdown-mermaid-skill.md
New skill for generating scientific infographics including:
- SKILL.md with comprehensive guidelines for infographic creation
- Design principles and color palette references
- Scripts for AI-powered infographic generation
- Support for various infographic types (statistical, process, comparison, etc.)
Co-authored-by: Cursor <cursoragent@cursor.com>
- Added criteria for identifying high-quality literature, emphasizing the importance of Tier-1 journals and citation counts.
- Updated guidelines for citation finding to prioritize influential papers and reputable authors.
- Revised abstract writing instructions to reflect the preference for flowing paragraphs over structured formats.
- Included best practices for generating AI schematics, specifically regarding figure numbering and content clarity.
- Replace direct calls to AllChem, Pairs, and Torsions with rdFingerprintGenerator in similarity_search.py
- Update example code in SKILL.md to reflect the new API usage
- Maintain existing functionality while adopting the modern fingerprint generation interface recommended by RDKit
