菜单
Apparel buyer psychology. Print-on-demand trigger audits. Identity-led product design. Cross-vertical purchase intent.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/Farrice/mes-knowledge-base --skill meg-heckman-buyer-trigger-os命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | Meg Heckman Buyer-Trigger OS |
| description | Apparel buyer psychology. Print-on-demand trigger audits. Identity-led product design. Cross-vertical purchase intent. |
| version | 1.0 |
| format | completion-engine |
| expert | Meg Heckman |
| aliases | Meg Hackman |
| domain | print-on-demand, apparel buyer psychology, product design, purchase intent, identity-led creative, social currency |
| source | Meg Heckman, I Made $1.19M in 30 Days. Here’s What ACTUALLY Made People Buy, YouTube, 2026-06-07 |
| workflows | 4 |
This cold skill turns Meg Heckman's print-on-demand buyer psychology video into a reusable operating system for apparel, POD products, client creative, offer surfaces, landing pages, and identity-led product design.
Use the source-canonical spelling Meg Heckman; preserve Meg Hackman as an alias because the user introduced that spelling.
extractions/video-context/7MNa2YTPGs4/extractions/video-context/7MNa2YTPGs4/video-context-ledger.mdextractions/video-context/7MNa2YTPGs4/transcript.txtextractions/video-context/7MNa2YTPGs4/transcript_segments.jsonextractions/video-context/7MNa2YTPGs4/metadata.jsonextractions/video-context/7MNa2YTPGs4/uncertainty-report.mdEvery meaningful use of this OS must be source-traced. Do not generate from vibes, memory, or a rigid template.
Before output:
references/source-ledger.md.references/genius-patterns.md.Source Mechanics from Domain Extrapolation.Use this compact source-anchor set unless a task needs deeper citation:
| Mechanic | Source Anchor |
|---|---|
| Buyer psychology over hacks | 00:00-00:41 |
| Identity beats utility | 00:41-01:20 |
| Recognition creates emotion | 01:23-02:18 |
| Specificity beats broad appeal | 02:20-04:07 |
| Social currency |
| 04:16-05:50 |
| Familiar plus unexpected | 05:55-07:58 |
| Emotion before logic | 08:00-09:16 |
Do not evaluate a product by asking only whether it is pretty, clever, or original. Evaluate whether the right buyer instantly recognizes themselves, imagines a social moment, feels something first, and only then justifies the purchase.
| Trigger | Operating Question | Failure Mode |
|---|---|---|
| Identity Signal | What does this let the buyer say about themselves? | The product is attractive but not self-expressive. |
| Instant Recognition | Does the right person get it before the scroll moment is gone? | The joke or value takes too much decoding. |
| Specific Person | Does it paint a person, not just name a market? | It targets a broad category and feels bland. |
| Social Currency | What reaction does the buyer imagine getting? | It sits on a page instead of moving through people. |
| Familiar Twist | Is it familiar enough to understand and unexpected enough to care? | It is boring, or it is too strange to decode. |
| Emotion First | What feeling arrives before the buyer gives themselves a reason? | The sale depends on price, specs, or utility alone. |
Use this shape as the default output:
| Candidate | Target Buyer | Identity Signal | Recognition Speed | Specificity | Social Currency Moment | Familiar/Twist Pair | Emotion-First Reason | Risk | Revision |
|---|
| Workflow | Produces | Use When |
|---|---|---|
| Buyer Trigger Audit | Trigger Fit Table, weak-link diagnosis, priority revisions | Auditing existing apparel, offers, pages, product ideas, ads, or creative concepts. |
| Apparel Concept Generator | Identity-led shirt/product concepts with proof notes and print constraints | Creating T-shirt, hoodie, mug, poster, merch, or POD concepts from a niche. |
| Product Design Scoring | Scorecard and pass/revise/kill verdict | Choosing which product/design concepts deserve testing. |
| Cross-Vertical Transfer | Adaptation map for offers, landing pages, client work, content, and non-apparel products | Applying the trigger model beyond apparel without losing the original mechanics. |
Route here for buyer-trigger-os, Meg Heckman buyer psychology, apparel buyer psychology, print on demand trigger audit, POD buyer triggers, T-shirt purchase intent, shirt design psychology, EDM streetwear purchase intent, identity-led product design, social currency product design, product purchase intent, offer purchase intent, landing page purchase psychology, and cross-vertical purchase intent.
Josh and MyBPM are proof lanes from the original deployment request. They are not default templates and must not narrow generic use.
_active/josh-swing-nerd-shirts-v1/04-deliverables/MEG_HECKMAN_TRIGGER_PASS.md only when the query explicitly mentions Josh, swing-nerd shirts, or asks for Josh examples.deliverables/designs/20260414_181005_mybpm_edm_streetwear_tee_with_prompt.json and the MyBPM proof section in extractions/video-context/7MNa2YTPGs4/meg-heckman-buyer-trigger-os-harvest.md only when the query explicitly mentions MyBPM, EDM streetwear, or asks for MyBPM examples.references/source-ledger.mdreferences/genius-patterns.mdsemantic_libraries/antigravity/primitives/buyer-trigger-design-psychology.md for cross-vertical usereferences/quality-rubric.md before client-facing, revenue-critical, or publishable outputcreative-direction when the output needs streetwear/art direction, placement, typography, or image prompts.kallaway-content-psychology when the product needs hook testing, attention architecture, or buyer-content packaging.kallaway-audience-obsession when the product must move from signal to belief to action through indirect suggestion.rafa-conde-memorable-product-design when a non-apparel product needs emotional residue and remembered moments./source-to-skill-system when new source material should become a durable skill system./extraction-governor-agent when deciding whether new material is a skill, reference, workflow, or productized asset./buyer-trigger-os is the approved workspace-local hot launcher and must load this full skill rather than duplicating it.The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
基于 SOC 职业分类