| name | discover |
| description | Discovery phase workflows for research interviews, literature review, data discovery, and ideation. Use when the user asks to scope a topic, review the literature, find datasets, or generate viable research designs. |
Discover
Launch the discovery phase and route to the appropriate worker-critic pair based on the user's need.
Read First
AGENTS.md
plugins/clo-author/references/runtime-activation.md
plugins/clo-author/references/codex-workflow.md
plugins/clo-author/references/agent-catalog.md
plugins/clo-author/references/critic-runtime-contract.md
plugins/clo-author/references/domain-profile.md
plugins/clo-author/references/logging.md
Modes
- interview / scoping
- literature review
- data discovery
- research ideation
Interview / Scoping
Use a structured conversational interview when the project is still vague.
Suggested sequence:
- big picture and motivation
- theoretical intuition
- data and setting
- identification possibilities and threats
- expected results
- contribution relative to the literature
Produce a research specification in quality_reports/ and calibrate the domain profile when the repo is still in template mode.
Literature Review
Dispatch:
- Librarian to collect and synthesize sources
- librarian-critic via
plugins/clo-author/references/active-critics/librarian-critic.md to check coverage, recency, gaps, and scope drift
Workflow:
- read existing specs, notes, and bibliography files
- browse when the frontier or publication status may have changed
- search top journals, field journals, and working-paper venues
- follow citation chains forward and backward from the most relevant papers
- save the synthesis under
quality_reports/
If the librarian-critic finds material gaps, re-dispatch Librarian once for a targeted follow-up rather than silently accepting incomplete coverage.
Data Discovery
Dispatch:
- Explorer to build the ranked inventory
- explorer-critic via
plugins/clo-author/references/active-critics/explorer-critic.md to stress-test feasibility and measurement
Each data candidate should report:
- source and access level
- key variables
- coverage
- likely unit of observation
- feasibility grade
- identification fit with the proposed question
Save the inventory in quality_reports/.
Research Ideation
Use ideation when the user wants candidate paper ideas rather than a committed project.
Outputs should include:
- a short list of viable questions
- likely treatment/outcome variation
- candidate data sources
- the next best workflow step: strategize, more discovery, or abandon
Outputs
- research spec or scoping memo in
quality_reports/
- literature memo in
quality_reports/
- data inventory in
quality_reports/
- updated domain-profile inputs when field calibration changes
Append research-journal entries when discovery artefacts materially change project direction.