survey-generator
Generate source-backed AI/ML survey paper artifacts with curated bibliographies and Fireworks/Kimi HTML rendering.
Profile →npx skills add sickn33/agentic-awesome-skills --skill survey-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Survey Generator Skill ## When to Use Use when this workflow matches the user request: Use this skill for its documented workflow. _Source: [dair-ai/dair-academy-plugins](https://github.com/dair-ai/dair-academy-plugins) (MIT)._ Generate an academic-style survey paper as a single self-contained HTML file. ## What this skill does Given a topic and a public anchor resource, this skill: 1. Reads the anchor resource and extracts the landscape of relevant work. 2. Builds a structured `research_bundle.json` (title, taxonomy, sections, bibliography of real papers). 3. Calls Kimi K2.6 via the Fireworks chat completions API with the research bundle and a fixed `style_spec.json`. 4. Writes a single-file HTML artifact with inline SVG figures, an academic layout, numbered sections, and a References list. The agent using this skill is responsible only for research curation. All prose, figures, and HTML are generated by Kimi K2.6 in one API call. ## Inputs from the user The user invokes this skill with at minimum: - `topic`: a concise survey topic, for example "Agentic Engineering" or "Reasoning Models". - `source_url`: a public anchor resource. Any curated list, canonical blog post, arXiv surv
- When to Use
- What this skill does
- Inputs from the user
- Requirements
- Workflow for the agent
- Step 1. Read the anchor resource
- Step 2. Define the taxonomy and sections
- Step 3. Curate the bibliography
- Step 4. Write researchbundle.json
- Step 5. Run the generator
- Step 6. Preview and iterate
- Files in this skill
- Hard rules the agent must follow
- Limitations
python3 build_artifact.py
What does the survey-generator skill do?
Generate source-backed AI/ML survey paper artifacts with curated bibliographies and Fireworks/Kimi HTML rendering.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill survey-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.