Author, validate, index, and visualize Open Knowledge Format (OKF) knowledge bundles — directories of markdown + YAML frontmatter that humans and agents both read.
2 on GitHubby OKF Claude Code Pluginv0.1.0Apache-2.0updated 4 months ago
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Plugin okf from marketplace okf-local in patelisii/OKF-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (2)
open-knowledge-format
Author, validate, index, and visualize Open Knowledge Format (OKF) knowledge bundles — directories of markdown files with YAML frontmatter that both humans and AI agents read. Use this whenever the user wants to build, enrich, browse, or convert a knowledge base / knowledge bundle / "OKF" for a data
remember-me
Capture durable facts the user states about themselves into their personal OKF "about-me" knowledge bundle, then refresh the bundle. Use proactively WHENEVER the user reveals a lasting fact about themselves in first person — their role, employer, location, background, skills, tools, work style, pref
Slash commands (6)
/okf:audit
Audit a research repo for OKF knowledge drift — find source artifacts (papers, notebooks, code, experiments) not yet reflected in the bundle, then enrich them.
/okf:create
Author or enrich an Open Knowledge Format (OKF) knowledge bundle for a given source (dataset, codebase, paper, API, or domain).
/okf:index
(Re)generate progressive-disclosure index.md files for every directory in an OKF bundle.
/okf:update
Refresh an OKF bundle's generated artifacts in one step — regenerate indexes, validate conformance, and rebuild the HTML visualization.
/okf:validate
Validate an Open Knowledge Format (OKF) bundle for conformance with OKF v0.1.
/okf:visualize
Render an OKF bundle as a self-contained interactive HTML graph viewer (viz.html).
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills
Governed catalog discovery for Informatica Intelligent Data Management Cloud (CDGC): find tables, columns, files, glossary terms and policies across the enterprise catalog, check ownership, certification, sensitivity and applicable policy, and get safe-usage guidance grounded in catalog metadata before querying any data. Requires an Informatica IDMC tenant and the Informatica Catalog Discovery connector.
Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, AsciiDoc, RTF, MOBI/AZW) into structured agent skills: a master SKILL.md with core frameworks and a topic index, on-demand chapter files, a glossary, a patterns file, and a decision cheatsheet. Ships 4 stdlib-only tools (multi-format extractor with invisible-Unicode sanitization, four-family generated-skill validator covering frontmatter/safety/budget/index, pre- and post-flight token budget estimator with a worth-converting verdict, and a plugin emitter that wraps a compiled skill as an installable claude-skills package behind a rights gate), 5 references citing 7-8 sources each, a cs-book-to-skill agent, and /cs-book-to-skill + /cs-book-to-plugin commands. Derived from virgiliojr94/book-to-skill (MIT).
Remove multi-vendor AI provenance marks from text, images, documents, and media. Bundles the remove-ai-marks and clean-user-facing-text skills.
2 skills · hooks
guillaumemeyer/watermarks-remover 27,279
Maintain okf?
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