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Get Started Free →Synthesize what we're learning about our audience
.claude/skills/davekilleen-audience-intel/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -50% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 296% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 36% | 0% |
Use this skill for a defined audience question and a bounded set of customer evidence: conversations, feedback, support notes, research, or behavior records. It can produce an evidence-backed view of persona patterns and messaging implications even when the evidence is incomplete.
Do not use it to invent personas, choose a market, or make a segmentation decision on a human's behalf. Not for outbound targeting, CRM tagging, customer contact, or changing source records without a separately confirmed action.
searching. A missing date is unknown; never substitute the current date.
audience context, exact quote or direct observation, and evidence state. Quote customer language exactly and attach the source and date to every quote.
source's own timestamp separately from the date the source was retrieved.
rather than implying complete coverage.
Keep every supporting source reference and do not merge distinct customers or events merely because their wording is similar.
clustering anything.
source without adding intent, emotion, or demographic detail that was not stated.
unique supported items. Show the deduplication rule and any ambiguous duplicates.
persona or segment actually evidenced. Label a persona pattern inferred when it is a synthesis rather than a direct description, and explain which observations support it.
do not resolve a contradiction by averaging it away.
proposals, not human decisions, and preview any requested save before asking for confirmation.
the observation without embellishment.
retain it for context but do not present it as current.
scope difference without inventing a cause.
Never invent dates, metrics, percentages, owners, intent, money, status, causes, or evidence. Frequency is a count of documented unique items only; do not turn a small or unknown sample into a population claim.
Return a report containing:
rule;
and confidence for each finding;
Do not present an unsupported persona label, count, or recommendation as fact. If no reliable evidence supports a requested conclusion, say so explicitly.
Default to read-only. Do not edit customer notes, profiles, CRM fields, tags, audiences, or outbound systems. A recommendation is not a human decision. For any requested file or system action, show a preview of the exact destination and content/change, obtain explicit confirm from the human authority, then perform only that approved action. Never broaden the source scope or action scope during a write.
Before delivery, read back every material finding against its ledger entry and reconcile quoted evidence, unique-item counts, dates, and segment labels. If a source cannot be read, mark the affected item unknown; if a source changes during review, mark the finding stale and re-check it. After an authorized write, read back the destination and reconcile it with the confirmed preview. If a read or write fails, stop, preserve the draft and error details, report the partial state, and ask the human authority whether to retry or recover; never claim success or retry blindly.
Other measured skills in the registry, with their headline benchmark lift.