What makes Audience Belief Mapper notable?

1.1K downloads. Trust evidence available

How should Audience Belief Mapper be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Audience Belief Mapper

Use when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; pr... Skill: Audience Belief Mapper Owner: aaron-he-zhu Summary: Use when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; pr... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:15:13.625Z | auto **Changelog for audience-belief-mapper v19.0.0** - Bumped version to 19.0.0 and updated metadata to reflect new version.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:audience-belief-mapper

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-audience-belief-mapper/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

76,747 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: audience-belief-mapper
slug: aaron-audience-belief-mapper
displayName: "Audience Belief Mapper · 受众信念图"
summary: "受众信念/异议/切换四力/流失语言"
description: 'Use when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use when gathering the beachhead's narrative raw material before any brand narrative is authored: the beliefs and mental models buyers already hold, the objections they raise and how to reframe each, and the JTBD four forces (push / pull / anxiety / habit) that govern switching. The third move of the TALE Trace phase; feeds beachhead truth (T), objection reframes (A), and win-loss language (E). Not demographic persona profiling and not the positioning canvas."
argument-hint: "<product / beachhead> [interview / win-loss notes] [known objections]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "narrative", "phase": "trace", "geo-relevance": "low", "hermes": {"tags": ["marketing", "narrative", "trace"], "category": "narrative"}, "openclaw": {"emoji": "📖", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Audience Belief Mapper

Captures the beachhead's narrative raw material — the beliefs and mental models buyers already hold, the objections that recur in every deal, each objection's reframe, and the JTBD **four forces** (push of the problem, pull of the new solution, anxiety of the switch, habit of the status quo) that decide whether they move. It is the third move of the TALE **Trace** phase and its output feeds three [TALE](../../../references/tale-benchmark.md) dimensions: **T** (beachhead/ICP truth — the narrative targets a segment scored on serviceability / pain / reachability, not "everyone"), **A** (the objection reframes the message house answers), and **E** (win-loss and objection language written back to the canon candidates). It never scores TALE profile result and never adjudicates a claim — unverified quotes or comparative statements are marked `[needs source]` and routed to `memory/events/claims.ndjson` via an authorized `operation: propose` request to `registry-events.py`.

**Scope g

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "audience-belief-mapper",
  "version": "19.0.0",
  "publishedAt": 1784902513625
}

skill-card.md

## Description:

Audience Belief Mapper helps agents synthesize user-provided buyer interviews, win-loss notes, sales-call summaries, and support tickets into sourced belief maps, objection reframes, JTBD switching-force maps, and claim candidates marked for review.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing, narrative, and go-to-market teams use this skill to turn user-provided customer evidence into a beachhead belief map, recurring objection reframes, and a JTBD four-forces switching map before authoring brand narrative.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may process customer interviews, sales notes, support tickets, and local memory files.

Mitigation: Use it only where saving those summaries to memory is acceptable, and avoid providing data the agent is not authorized to retain.

Risk: Proposed belief, reframe, or claim records could preserve unverified or misleading market language.

Mitigation: Review proposed claim and narrative records before allowing them to persist, and keep comparative claims marked [needs source] until approved.

## Reference(s):

- [Audience Belief Mapper on ClawHub](https://clawhub.ai/aaron-he-zhu/skills/audience-belief-mapper)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

**Output Type(s):** [text, markdown, guidance, configuration]

**Output Format:** [Markdown with structured tables, sourced evidence labels, needs-source lists, and handoff summaries]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May propose memory records only after user confirmation; unverified quotes and comparative claims remain marked [needs source].]

## Skill Version(s):

19.0.0 (source: evidence release metadata and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

{
  "capabilities": [
    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
  "files": [
    {
      "bytes": 12803,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "e2445e45fd91183a746391cc9b5934a13cbdca4a4da7cb4f3a63dacdb0b5e674"
    }
  ],
  "files_sha256": "d61d0972cb95b14ef5cc7a10000a5cd06b9897b548595f080b4bc8c58a83bfad",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
    "max_bytes": 1000000,
    "max_files": 64
  },
  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

Github ReposUpdated 2d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.