Skip to content
cccskills
FreePublished on GitHub

voc-extract

Use when extracting Voice-of-Customer themes from existing artefacts — GH issues, PR threads, Sentry patterns. Triggers on 'what are users saying', 'recurring complaints', 'top themes'.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md6.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

voc-extract

When to use

  • A backlog or planning round needs grounded user-voice signal, not anecdotes.
  • A round of bug reports / feature requests / Sentry events has accumulated and the team needs themes with citation per theme.
  • A roadmap proposal needs a "what users keep telling us" backing section.

Do NOT use this skill for live interviews (discovery-interview) or for quantitative funnel diagnosis (funnel-analysis).

Bounded scope

  • Read-only on artefacts the host already has — local repo issues (gh issue list), PR discussions (gh pr view), Sentry projects the team owns. No external scrape, no SaaS API calls.
  • Chat-export sourcing (Discord, Slack) is deferred pending privacy review (council Q5, SHIP-WITHOUT). If a request asks for chat-derived VoC, refuse and route the user to a privacy review.
  • No PII surfacing — quotes are paraphrased to remove names, emails, tenant identifiers; verbatim is reserved for product-team artefacts inside the repo.

Cognition cluster

  • Mental model 15 — Signal vs noise. A loud single reporter swamps quiet recurring patterns; rank by distinct authors, not comment count. See docs/contracts/mental-models.md § 15.
  • Mental model 14 — Pareto. Roughly 20% of themes carry 80% of the contact volume; cut the long tail explicitly so the team acts on the head. See mental-models.md § 14.
  • Mental model 22 — Data-informed, not data-driven. Issue counts are evidence, not voting; weight by recency, severity, and segment before recommending. See mental-models.md § 22.
  • Product context-spine slot. Read product for segments, non-goals, and focal jobs; do not surface themes that fall outside the declared scope without a scope-violation flag. See context-spine.

Procedure

1. Inventory the source artefacts

Identify what is in scope for this run:

  • gh issue list --state all --limit N per repo.
  • gh pr list --state all --limit N per repo.
  • Sentry project names + date window.

Capture counts and date window in the output header so the verdict is reproducible.

2. Inspect each artefact and tag

Per artefact, capture:

  • Theme tag (free-text, normalised in step 3).
  • Author (distinct identity).
  • Severity — blocking / friction / wish / praise.
  • Segment — derived from the product spine slot.
  • Citation — repo#123, PR URL, Sentry issue ID.

3. Normalise and rank

Cluster theme tags into 5–12 themes max. For each:

  • Distinct-author count (the rank key).
  • Severity mix (blocking-share matters more than wish-share).
  • Recency — last 90 days vs older; weight 2× recent.
  • Segment skew — does the theme cluster in one segment?

Drop themes with < 3 distinct authors unless severity is blocking or the theme is brand-new in the recency window.

4. Build the theme report and validate

One row per theme. Columns: theme · distinct authors · severity mix · recency · segment skew · representative citations (≤ 3) · proposed next step (refine / probe / defer).

Validate the report before handing back: verify each row cites ≥ 1 artefact, check that distinct-author counts match the source inventory from step 1, confirm no PII leaked into the citations, and ensure no theme rated defer lacks a written rationale.

5. Surface scope violations

Themes that fall outside the product spine slot's declared scope go into a scope-violation.md block, never silently into the main report. The team decides whether to expand scope or close the door.

6. Hand back

Route refine candidates to refine-ticket; route probe candidates (need live interview) to discovery-interview; defer the rest with explicit rationale.

Related Skills

WHEN to use this

  • The signal needs to come from existing repo / Sentry artefacts.
  • The output is a theme list with citation, not narrative summary.
  • A roadmap proposal needs grounded VoC backing.

WHEN NOT to use this

  • The signal needs a live conversation — route to discovery-interview.
  • The artefacts are chat-export sourced (Discord, Slack) — refuse and route to a privacy review (deferred per bounded scope).
  • The output is a quantitative funnel — route to funnel-analysis.
  • A theme is already a ticket candidate — route directly to refine-ticket.

When the agent should load this

  • "Was sagen die User wirklich?"
  • "Top-Themen aus den letzten 90 Tagen Issues."
  • "Welche Sentry-Patterns sind recurring?"
  • "Backe der Roadmap-Phase ein VoC-Block dazu."
  • "Gibt es ein Segment, das uns überproportional pingt?"

Output

  1. Header — sources scanned, counts, date window, scope notes.
  2. Theme report table — themes, distinct authors, severity mix, recency, segment skew, citations, next step.
  3. Scope-violation block — themes outside the product spine slot, explicit, never collapsed into the main table.
  4. Routing list — refine / probe / defer rows with the named downstream skill per theme.

Gotcha

  • One articulate user can own three themes; rank by distinct authors or you ship their backlog.
  • A theme with no recency (all > 90 days) is archaeology, not VoC; flag it explicitly.
  • Chat-export requests are tempting (Discord copy-paste); refuse per bounded scope until the privacy review lands.

Do NOT

  • Do NOT scrape external sources or hit SaaS APIs the team does not already own.
  • Do NOT surface PII; paraphrase before quoting.
  • Do NOT collapse scope-violations into the main table.
  • Do NOT lock decisions inside this skill — hand off to refine-ticket or decision-record.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.

The English summary is being prepared. Showing the original description.

event4u-app/agent-config13Updated Oct 23, 2026

See all skills by event4u-app

Report a problem with this skill