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1 pack

Results for “natural-language”

18 skills
More results
solizardking
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.
0
promisingcoder
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.
0
infometa
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.
228
auto-skiller
ubiquitous-language
Extracts and formalizes domain terminology from a conversation into a consistent glossary saved to a local file.
1
jrennie99-glitch
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.
0
yanacuti1121
stop-slop
Detect and eliminate predictable AI writing tells from prose. Use when the user asks to "make this sound less like AI", "remove AI tells", "make it more human", "this sounds robotic", "clean up the writing", "too formal", "sounds generated", or requests a writing/copy review. Do NOT use for code — this skill targets prose, copy, and documentation only.
2
q2805187159
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
3
ichichuang
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
0 · bundle
github
finnish-humanizer
Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.
36.2k · bundle
github
excalidraw-diagram-generator
Generate Excalidraw diagrams from natural language descriptions, supporting flowcharts, relationship diagrams, mind maps, architecture diagrams, and more. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
36.2k · bundle
zhaoxuya520
diagram-generator
Generates editable diagram source code (Mermaid, Graphviz DOT, PlantUML, SVG) from natural language, code, schemas, or notes for flowcharts, sequence diagrams, ER diagrams, architecture diagrams, and more. Renders to PNG/SVG/PDF on request via a local Python script.
12.8k · bundle
fradser
code-context
This skill should be used when the user asks to "understand a codebase", "get code context", "research a library", "explore a repository", "find code examples", "look up documentation", asks a natural-language code/technology question (e.g. "how does X work", "X vs Y", "best practice for Z"), or wants to understand how a specific project, library, or concept works before making changes.
580