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Source collection and ideation for lecture materials. After confirming topic/audience/purpose, performs web research (Korean and English) and writes research_notes.md. Responds to "research topic", "collect sources" . Stage 1 of the lecture workflow.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Runs the full project sync pipeline — lifecycle update, audit, L0→L1 publish, commit, push, and PR creation.
Runs the full project sync pipeline — lifecycle update, audit, L0→L1 publish, commit, push, and PR creation.
Turn a topic or your own materials into a single self-contained, interactive HTML report — top tabs, clickable reference drawers, dense tables, comparison heatmaps, inline SVG, in-page search, a light/dark theme toggle, and multilingual support. Use when: user says "/explain-me", "/reportme", "make a report", "create report", "explain this topic". Inspired by beret21/reportme.
Document Production Workflow for co-deck — generates searchable, themed handbooks as static sites (GitHub Pages). Three modes: standalone handbook, lecture companion (reads co-deck slide_deck.md), full course site. Responds to "make handbook", "create handbook", "build course site", "companion handbook" (triggered by Korean phrases too). H-Stage pipeline (H-0 through H-7). Independent from the 11-Stage slide pipeline.
Turn a topic or your own materials into a single self-contained, interactive HTML report — top tabs, clickable reference drawers, dense tables, comparison heatmaps, inline SVG, in-page search, a light/dark theme toggle, and multilingual support. Use when: user says "/explain-me", "/reportme", "make a report", "create report", "explain this topic". Inspired by beret21/reportme.
Pre-edit fact-forcing quality gate. Ensures agents investigate a file's importers, schemas, and scope constraints before making changes. Part of the 3-layer enforcement model (Hook → Prompt → Skill).
| name | research |
| scope | co-deck |
| version | 1.2.0 |
| description | Source collection and ideation for lecture materials. After confirming topic/audience/purpose, performs web research (Korean and English) and writes research_notes.md. Responds to "research topic", "collect sources" . Stage 1 of the lecture workflow. |
| status | active |
| owner | research |
| last_reviewed | "2026-06-19T00:00:00.000Z" |
| prerequisites | none |
Researches the lecture topic via web search (Korean + English) and organizes findings into research_notes.md — the primary input for the Storyline Agent. Invoked at Stage 1, after the lecture topic and audience are confirmed.
research_notes.md does not yet existConfirm the following with the user before starting (skip anything already mentioned):
Use WebSearch and web_fetch to collect:
Search in both Korean and English. Always record source URLs.
Organize collected content into the structure below and save to the workspace.
# Research Notes: [Topic]
## Lecture Overview
- Topic:
- Audience:
- Purpose:
- Length (slide count):
## Core Messages (3-5)
Key points the audience must take away.
1.
2.
3.
## Key Concepts & Content
### [Concept/Section 1]
[Summary]
### [Concept/Section 2]
[Summary]
## Data / Statistics
- [Figure] — Source: [URL]
- [Figure] — Source: [URL]
## Case Studies
### [Case 1]
[Description]
## References
- [Title](URL)
- [Title](URL)
Korean example (when the lecture targets a Korean audience, write actual content in Korean):
# Research Notes: Securities Industry in the AX Era ## Lecture Overview - Topic: Securities Industry Changes in the AX (AI Transformation) Era - Audience: Securities company executives and practitioners - Purpose: Providing insights and strategic directions - Length (Slide count): 60
presentations/<project>/research_notes.md with sections: Lecture Overview, Core Messages, Key Concepts & Content, Data / Statistics, Case Studies, References. See Step 3 template above for full structure.
storyline — consumes research_notes.md output from this skill