3.0 KiB
3.0 KiB
name, description, license, compatibility, metadata
| name | description | license | compatibility | metadata | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| document-triage | Scope a document research task, prioritize sources, and define an evidence-driven reading plan | MIT | opencode |
|
What I do
- Define the research objective in precise terms
- Break the task into answerable sub-questions
- Identify which documents are likely primary, secondary, or low-value
- Propose a reading order based on expected relevance
- Highlight likely evidence types such as requirements, decisions, risks, assumptions, and timelines
- Create a focused plan before deep reading begins
When to use me
Use this skill at the start of a document-based research task.
Examples:
- You have a folder of policies, specs, meeting notes, or reports and need a systematic approach
- You need to answer a question using internal documentation
- You need to map a large corpus before extracting evidence
- You want to avoid reading everything in full
Inputs I expect
Provide as many of these as available:
- Research goal or question
- List of documents, filenames, or brief descriptions
- Any constraints such as deadline, topic boundaries, time period, or required output
- Any known "must-cover" documents
- Preferred output format if already defined
Workflow
- Restate the research objective in one sentence
- Convert the objective into focused sub-questions
- Classify available documents by likely value:
- Primary source
- Supporting source
- Background source
- Likely irrelevant
- Identify expected signal in each source:
- Requirements
- Decisions
- Responsibilities
- Risks
- Dates or milestones
- Definitions
- Exceptions
- Recommend an efficient reading order
- Define extraction criteria for the next stage
- Flag ambiguities, missing sources, and review risks
Output format
Produce these sections:
Research Objective
A single concise statement of the exact question to answer.
Sub-questions
A numbered list of focused questions the research should resolve.
Source Triage
For each document:
- Document name
- Classification
- Why it matters
- What to look for
Reading Plan
A prioritized reading sequence with rationale.
Extraction Criteria
A checklist of evidence worth capturing in the next phase.
Risks and Gaps
Explicitly list missing documents, unclear scope, and likely blind spots.
Quality bar
- Be specific, not generic
- Prefer primary documents over commentary
- Do not assume a document is authoritative unless the user says so
- Separate fact-finding from interpretation
- Explicitly note what cannot be determined yet
Do not
- Do not summarize the documents in depth at this stage
- Do not invent document contents
- Do not claim conclusions before evidence extraction
- Do not merge assumptions with facts
Hand-off to companion skills
After this skill, use:
evidence-extractionto pull structured findingsresearch-synthesisto produce a final answer, brief, matrix, or report