Support Deflection Miner
Analyze support tickets, helpdesk exports, issue subjects, customer questions, or support thread summaries to find repeated themes, duplicate-looking requests, documentation gaps, automation candidates, and support-deflection opportunities. Use when Codex needs to convert support noise into prioritized KB, product, or workflow improvements without inventing customer facts.
Install
$ agentstack add skill-clarentcinematics-codex-skills-for-enterprise-support-deflection-miner ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-clarentcinematics-codex-skills-for-enterprise-support-deflection-miner) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Support Deflection Miner
Workflow
- Identify source type, date range, product area, customer segment, and support goal.
- Group repeated questions, symptoms, ticket subjects, and workaround requests.
- Separate documentation gaps, product friction, policy confusion, and automation opportunities.
- Prioritize by repetition, customer impact, confidence, and actionability.
- Produce proposed KB articles, product feedback, macros, automation candidates, and caveats.
Script-Assisted Workflow
When given ticket subjects in CSV or text form, run scripts/mine_support_themes.py --input first. Use --json when structured theme counts are needed. The helper surfaces repeated text patterns; Codex must still judge whether a theme is a KB gap, product issue, or workflow candidate.
Output Standard
Use this structure by default:
- Deflection Summary: source scope, top repeated issues, and confidence.
- Top Themes: theme, evidence, count, likely category, and caveats.
- Duplicate-Looking Requests: repeated subjects or near-repeated issue language.
- KB Opportunities: proposed article titles, audience, source evidence, and missing facts.
- Product / Process Signals: friction points requiring product, policy, or workflow review.
- Automation Candidates: macro, bot, form, routing, or script opportunities.
- Questions To Resolve: missing context needed before publishing or automating.
Rules
- Do not invent customer names, ticket counts beyond the provided input, root causes, SLA impact, or product commitments.
- Mark keyword clusters as heuristic, not definitive taxonomy.
- Keep customer-sensitive data out of examples unless already sanitized.
- Prefer small, reviewable deflection actions over broad automation claims.
References
Read references/deflection-rubric.md when deciding whether a repeated support theme should become a KB article, product bug, macro, or automation candidate.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ClarentCinematics
- Source: ClarentCinematics/Codex-Skills-for-Enterprise
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.