Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Covers v0.2 provenance, trust, lifecycle, and Attested Computations.
2 on GitHubby Saulo Valloryv2.1.0updated 24 days ago
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Plugin okf from marketplace tutor in svallory/tutor. Commands read from the repo's manifest — 24 days ago.
What it installs
Skills (1)
okf-open-knowledge-format
Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'vali
Hyper Coding workflow support: project spaces (a bare repo wrapping all of a project's worktrees plus local-only dirs), per-edit integration with the linters and typecheckers a project already uses, spec-driven planning, and template-driven generation.
Structured problem decomposition for hard problems: reduce an unknown into a collection of smaller knowns, turn confusion into testable hypotheses, and solve forward one variable at a time.
Produce narrated, subtitled MP4 demos of web-app features: Playwright records the browser with an animated cursor, ffmpeg assembles takes paced by TTS narration, with optional title cards, subtitles, and an outro slate.
Drive the Obscura headless browser from an agent: fetch and scrape JavaScript-rendered pages, run Playwright scripts and E2E suites against its CDP server without bundled Chromium, and watch the session live.
Decision sheets: several questions with the agent's suggested answers become a page where you change only what you disagree with, add notes, and copy one short reply back into the chat.
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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