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SKILL.md

ask

Agent skill fromagenticnotetaking/arscontexta

Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".

How to install ask

install ask
# install the arscontexta pack with the skills CLI
npx skills add agenticnotetaking/arscontexta

# or add only this skill to Claude Code: copy the folder

skills/ask/

# into

~/.claude/skills/ask/ (all projects)

.claude/skills/ask/ (one project)

skills/ask/SKILL.md

MITFull file
1## EXECUTE NOW
2
3**Question: $ARGUMENTS**
4
5If no question provided, ask the user what they want to know.
6
7**Execute these steps:**
8
91. **Classify the question** — determine which knowledge base tier(s) to consult (see Query Classification below)
102. **Search the knowledge base** — route to appropriate tiers based on classification
113. **Read relevant claims and docs** — load 3-7 most relevant sources fully (use `mcp__qmd__multi_get` when reading multiple IDs)
124. **Check user context** — read `ops/derivation.md` if the question involves their specific system
135. **Synthesize an answer** — weave claims into a coherent, opinionated argument
146. **Cite sources** — reference specific claims and documents so the user can explore further
15
16**START NOW.** Reference below explains routing and synthesis methodology.
17
18---
19
20## The Three-Tier Knowledge Base
21
22The plugin's knowledge base has three distinct parts, each serving a different function. Effective answers often draw from multiple tiers.
23
24### Tier 1: Research Graph (WHY)
25
26**Location:** `${CLAUDE_PLUGIN_ROOT}/methodology/` — filter by `kind: research`
27**Content:** 213 interconnected research claims grounded in cognitive science, knowledge system theory, and agent cognition research.
28**Use for:** Questions about principles, trade-offs, why things work, theoretical foundations.
29
30**What it contains:**
31- Claims about how knowledge systems work (human and agent)
32- Cognitive science foundations (working memory, attention, retrieval)
33…

Excerpt shown under the repository's MIT license.

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