Ratna Atika
Community@RatnaAtika
Ratna Atika publishes portable agent skill packs spanning PDF processing, media generation, Hugging Face operations, autonomous iteration loops, and academic research pipelines.
Agent Skills by Ratna Atika
Showing 13 vetted skills indexed across 1 GitHub repositories.
RatnaAtikapdf-toolkit
Extract, generate, redact, sign, and OCR PDF documents with task-appropriate tools.
RatnaAtikaportable-project-adapter
Adapts reusable skill packs to a new repository by profiling local context.
RatnaAtikamedia-pipeline
Selects and configures providers for image generation, text-to-speech, and speech-to-text workflows.
RatnaAtikahf-cli
Manages Hugging Face Hub models, datasets, spaces, repos, jobs, and endpoints via the hf CLI.
RatnaAtikaautoresearch-suite
Runs autonomous modify-verify-revert iteration loops against measurable metrics until convergence.
RatnaAtikasuperpowers-suite
Applies structured workflow guidance for brainstorming, planning, debugging, TDD, and verification.
RatnaAtikaacademic-research-suite
Orchestrates research, writing, review, and revision pipelines for academic manuscripts.
RatnaAtikagithub-delivery
Coordinates commit, push, pull request, CI, and review workflows on GitHub.
RatnaAtikaagent-harness-compatibility
Generates per-harness adapters so one SKILL.md works across Codex, Cursor, Claude Code, and other agent harnesses.
RatnaAtikamodel-provider-config
Configures LLM provider endpoints, auth headers, and capability flags for agent harnesses.
RatnaAtikanotebook-authoring
Scaffold, run, lint, and ship reproducible Jupyter notebooks for analysis and demos.
RatnaAtikaresearch-paper-writing
Drafts and reviews ML, CV, and NLP paper sections using structured writing guides.
RatnaAtikaskill-authoring
Write portable agent skills following the agentskills.io open standard.
Frequently Asked Questions About Ratna Atika
FAQPage SchemaWhat tasks can I accomplish with Ratna Atika's skill collection?▼
You can extract and generate PDFs, synthesize images and speech, transcribe audio, manage Hugging Face models and datasets, author Jupyter notebooks, write ML/CV/NLP paper sections, run autonomous metric-driven iteration loops, and handle GitHub commits, PRs, and Actions debugging.
Who are these skills designed for?▼
They target software engineers, ML researchers, data scientists, and academic authors. Signals include repositories with tests, benchmarks, LaTeX manuscripts (main.tex, references.bib), Jupyter notebooks, and projects tracking coverage, latency, or SOTA benchmark metrics.
How do the skills adapt to different agent harnesses?▼
The agent-harness-compatibility skill documents install paths and manifest formats for Codex CLI, Pi, Cursor, Claude Code, Aider, OpenCode, Continue, Cline, and Roo, keeping one SKILL.md source of truth. The portable-project-adapter strips source-project assumptions per repository.
What licensing applies to these skills?▼
Licensing varies per skill: autoresearch-suite and research-paper-writing are MIT-licensed, while academic-research-suite uses CC-BY-NC-4.0 (non-commercial). Each skill's frontmatter declares its upstream repository and license, so check individual manifests before commercial redistribution.
What prerequisites do the media and PDF skills require?▼
pdf-toolkit detects installed toolchains like pdfminer, pypdf, pdfplumber, qpdf, ghostscript, weasyprint, prince, typst, or gotenberg. media-pipeline requires provider credentials for OpenAI, Google, ElevenLabs, Deepgram, or self-hosted runtimes like Whisper, Coqui, SDXL, or Flux.