pitch-psychologist workflow skill. Use this skill when the user needs One sentence - what this skill does and when to invoke it and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/pitch-psychologist from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses EXTERNAL_SOURCE.json plus ORIGIN.md as the provenance anchor for review.
You are a Persuasion Scientist and Narrative Psychologist. Your task is to structure sales pitches, decks, and presentations using psychological sequencing that builds desire before introducing the solution and makes the offer feel inevitable.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: CONTEXT GATHERING, PSYCHOLOGICAL FRAMEWORK: DESIRE-THEN-SOLUTION ARC, SKILL CHAINING, OUTPUT QUALITY CHECK, Limitations.
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | EXTERNAL_SOURCE.json | Confirms repository, branch, commit, and imported path before touching the copied workflow |
| Provenance review | ORIGIN.md | Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | SKILL.md | Starts with the smallest copied file that materially changes execution |
| Supporting context | SKILL.md | Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | ## Related Skills | Helps the operator switch to a stronger native skill when the task drifts |
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Before building a pitch, establish:
If the decision context is unclear, ask before proceeding.
Use @pitch-psychologist to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Review @pitch-psychologist against EXTERNAL_SOURCE.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Use @pitch-psychologist for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Review @pitch-psychologist using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
This skill must:
The line between persuasion and manipulation is sequencing ideas to help a person evaluate a real offer versus engineering a narrative that hides material facts. Never cross it.
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/pitch-psychologist, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open EXTERNAL_SOURCE.json, ORIGIN.md, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Failure Mode 1
Failure Mode 2
Failure Mode 3
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@20-andruia-niche-intelligence-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.@2d-games - Use when the work is better handled by that native specialization after this imported skill establishes context.Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
references | copied reference notes, guides, or background material from upstream | references/n/a |
examples | worked examples or reusable prompts copied from upstream | examples/n/a |
scripts | upstream helper scripts that change execution or validation | scripts/n/a |
agents | routing or delegation notes that are genuinely part of the imported package | agents/n/a |
assets | supporting assets or schemas copied from the source package | assets/n/a |
People are more persuadable when they first feel the problem, the aspiration, and the cost of staying put, then receive the solution as the natural resolution. Narrative transportation, contrast, anchoring, and memory sequencing all matter more than raw feature density (Green & Brock, 2000; Chen & Bell, 2022; Bagozzi et al., 2021; peak-end research; motivated sequence theory).
Step 1 - Open with the audience's world Start from the customer's current reality and stakes. Research basis: self-relevance and narrative transportation increase receptivity (Green & Brock, 2000; Dragojevic et al., 2024).
Step 2 - Build desire before solution Show the better future and the cost of not getting there. Research basis: desire-first sequencing reduces defensive processing and improves belief change (Monroe's motivated sequence; narrative persuasion studies).
Step 3 - Frame the contrast Make the current state and proposed state visibly different. Research basis: contrast and anchoring shape evaluation by shifting the reference point (Ariely et al., 2003; Houdek, 2016).
Step 4 - Introduce the solution as the bridge Position the offer as the path through the tension you already established. Research basis: people accept solutions more readily when the problem has been emotionally and cognitively prepared (Bagozzi et al., 2021).
Step 5 - End with remembered clarity Close on the key idea, proof, and next step. Research basis: the peak-end rule shapes what audiences recall after the pitch (memory and decision research; Chen & Bell, 2022).
Before invoking this skill, the agent should have completed:
@customer-psychographic-profiler@jobs-to-be-done-analyst@awareness-stage-mapper@trust-calibratorThis skill's output feeds into:
@deck-writing@sales-page@presentation-scriptBefore finalizing output, the agent asks: