Fetch pending FAQ items, classify them, and draft answers from repository context.
npx skills add https://github.com/matrixshader/matrix-shader --skill oracle-matrixshader
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/matrixshader/matrix-shader/tree/main/.claude/skills/oracle Command: npx skills add https://github.com/matrixshader/matrix-shader --skill oracle-matrixshader
Reduces the manual effort and risk of incorrect public answers by automating the triage, drafting, and publishing workflow for pending FAQ submissions while ensuring every publish is human‑approved.
Use the oracle skill to fetch pending FAQ items, draft answers from the codebase, and present all drafts for your approval.
High-intent search queries and answers about installing and using this skill.
Automate drafting answers for pending FAQ submissions by fetching questions from the support API, building context from README and source files, and drafting concise responses for your approval. This triage workflow classifies items as CAN ANSWER, NEEDS HUMAN, or JUNK.
Automated FAQ triage classifies incoming support questions by fetching pending items and evaluating them against repository context. Each submission is sorted into CAN ANSWER, NEEDS HUMAN, or JUNK categories to prioritize drafting responses for resolvable items.
You cannot bulk publish drafted FAQ answers without manual review. The workflow requires explicit user approval before publishing, updating, dismissing, or deleting any entries to ensure every public answer is human-approved and accurate.
You need curl and python3 installed to fetch and triage support inbox items. The skill uses these dependencies to execute provided scripts for API actions, fetch pending questions, and process repository files for context.
Secure API requests when fetching pending FAQ items by using Bearer authentication via the DASHBOARD_PASSWORD environment variable. This authentication is required for interacting with the support API to retrieve submissions.
The best way to clear an FAQ backlog using codebase context is fetching pending items, building context from README and source files, drafting concise answers, and approving them in bulk. This automates triage while ensuring human approval before publishing.
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