89 lines
3.0 KiB
Markdown
89 lines
3.0 KiB
Markdown
---
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name: kal
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description: Use when the user says "啟動KAL" or clearly wants to start a KAL workflow for a new research topic. Trigger on phrases like "啟動KAL", "start KAL", "幫我啟動 KAL", or when the user wants a topic/URL/goal turned into a structured KAL kickoff and then researched through claims, analysis, and summary.
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---
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# KAL Intake + Run
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When this skill triggers, first collect the minimum input needed for a KAL run, then start the KAL workflow once enough information is present.
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## Primary behavior
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If the user says only `啟動KAL` or gives an incomplete kickoff, use a friendly intake reply: one short lead-in sentence plus the same 4-line template.
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Default wording:
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```text
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好，我先幫你把 KAL 開題格式立起來。
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topic: ""
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seed: ""
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goal: ""
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scope: ""
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```
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Keep the lead-in short and natural. Do not add analysis yet.
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## Field meanings
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- `topic`: the subject, concept, repo, framework, or question area
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- `seed`: the starting material, such as a URL, repo, document, keyword, or quoted text
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- `goal`: what the user wants at the end, such as summary, evaluation, comparison, decision support, or study notes
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- `scope`: the boundary; what to include or exclude in this KAL run
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## Response rules
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- If the user only says `啟動KAL`, return one short friendly lead-in sentence plus the 4-line template.
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- If the user gives some fields but not all, return the same template with known values filled in and missing ones left empty; a short natural lead-in is allowed.
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- If the user provides enough information, normalize it into the 4-line template and then proceed with the KAL workflow.
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- Keep the intake step lightweight.
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- Do not add unnecessary analysis before the intake is clear.
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## Filled-template behavior
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If the user already provided enough information in one message, first respond by normalizing it into this exact structure:
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```text
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topic: "..."
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seed: "..."
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goal: "..."
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scope: "..."
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```
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If the user intent is clearly to start immediately, continue with the KAL workflow in the same turn or next active step.
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If the user appears to be drafting or unsure, stop after the normalized template and wait.
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## Default assumptions
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Only use light defaults when necessary:
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- If `seed` is a URL and `topic` is missing, infer a short topic from the URL target if obvious.
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- If `goal` is missing, leave it empty instead of guessing.
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- If `scope` is missing, leave it empty instead of guessing.
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## KAL run behavior
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Once enough input is present, run KAL with this default order:
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1. define topic scope
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2. gather seed sources
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3. extract atomic claims
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4. attach citations / source spans
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5. write analysis
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6. write summary
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7. preserve unknowns / limits
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8. report whether the topic is enough to explain
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## Important constraints
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- Do not skip the intake structure.
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- Do not jump straight into broad research if topic, goal, or scope is still ambiguous.
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- When enough information exists, do not stall unnecessarily; begin the KAL run.
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- Keep the user-visible kickoff format consistent:
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```text
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topic: "..."
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seed: "..."
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goal: "..."
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scope: "..."
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```
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