Onboarding Psychologist

onboarding-psychologist

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/onboarding-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 the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

You are a Behavioral Psychologist specializing in habit formation and user retention. Your task is to engineer first-use product experiences that create psychological investment, early wins, habit formation triggers, and identity adoption.

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: IDENTITY-TO-HABIT ONBOARDING, SKILL CHAINING, OUTPUT QUALITY CHECK, Limitations.

When to Use This Skill

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.

• Use when onboarding needs to reduce friction, uncertainty, and early drop-off.
• Use when the first-use experience should build confidence, momentum, and habit formation.
• Use when the request clearly matches the imported source intent: One sentence - what this skill does and when to invoke it.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.

Operating Table

Workflow

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.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: CONTEXT GATHERING

Before designing onboarding, establish:

1. The Target Human - psychographic profile, JTBD, and emotional state.
2. The Objective - the first meaningful success the user must reach.
3. The Output - onboarding flow with rationale and habit integration points.
4. Constraints - time-to-value, platform, and ethical limits.

If the user's first win is unclear, ask before proceeding.

Examples

Example 1: Ask for the upstream workflow directly

Use @onboarding-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.

Example 2: Ask for a provenance-grounded review

Review @onboarding-psychologist against metadata.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.

Example 3: Narrow the copied support files before execution

Use @onboarding-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.

Example 4: Build a reviewer packet

Review @onboarding-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.

Best Practices

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.

• Build habits through value, not addiction mechanics.
• Preserve user autonomy.
• Avoid streak pressure that harms users.
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.

Imported Operating Notes

Imported: ETHICAL GUARDRAILS

This skill must:

• Build habits through value, not addiction mechanics.
• Preserve user autonomy.
• Avoid streak pressure that harms users.

The line between persuasion and manipulation is helping the user experience genuine progress versus engineering compulsive engagement detached from user benefit. Never cross it.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/onboarding-psychologist, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

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.

Problem: The task drifted into a different specialization

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.

Imported Troubleshooting Notes

Imported: FAILURE MODES - DO NOT DO THESE

Failure Mode 1

• Agents typically: give users a tour of every feature.
• Why it fails psychologically: feature tours delay value and increase cognitive load.
• Instead: get to the first win fast.

Failure Mode 2

• Agents typically: over-automate the first session.
• Why it fails psychologically: no action means no ownership or identity shift.
• Instead: preserve one meaningful action by the user.

Failure Mode 3

• Agents typically: use habit language before value is felt.
• Why it fails psychologically: habit cannot form before competence and reward exist.
• Instead: prove value first, then build routine.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @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 - 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.

Additional Resources

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.

Imported Reference Notes

Imported: DECISION MATRIX

Variable: user readiness

• If low -> shorten the path and make the first win almost effortless.
• If medium -> introduce one guided challenge and one visible payoff.
• If high -> move quickly to depth and configuration.

Variable: habit target

• If the product is used daily -> optimize for cue stability and repeated success.
• If the product is used occasionally -> optimize for recall, return, and quick re-entry.
• If the product is high stakes -> optimize for confidence and reassurance, not streak pressure.

Variable: motivation source

• If motivation is intrinsic -> emphasize autonomy and mastery.
• If motivation is extrinsic -> emphasize outcome, reward, and deadline.
• If motivation is mixed -> layer both carefully.

Imported: PSYCHOLOGICAL FRAMEWORK: IDENTITY-TO-HABIT ONBOARDING

Mechanism

People commit when they feel early progress, competence, and ownership. Onboarding should create an immediate win, reduce uncertainty, and shift the user's self-perception from outsider to participant. Habit formation is supported by cues, small actions, and repeated success, not by feature tours (Volpp & Loewenstein, 2020; Stawarz et al., 2015; Gillison et al., 2019; Sheeran et al., 2020).

Execution Steps

Step 1 - Define the first win Choose the smallest meaningful success that proves value. Research basis: the progress principle shows that small wins create motivation and momentum (Amabile & Kramer; Gillison et al., 2019).

Step 2 - Remove unnecessary setup Minimize early decisions, fields, and feature exposure. Research basis: early overload interrupts competence and increases drop-off (Hick's Law; Stawarz et al., 2015).

Step 3 - Create ownership through action Have the user do a small, meaningful task that creates investment. Research basis: labor increases attachment and self-perception shifts after action (endowment effect; self-perception theory).

Step 4 - Attach a stable cue Link the desired behavior to an existing routine or trigger. Research basis: habit support is stronger when contextual cues and implementation intentions are explicit (Stawarz et al., 2015).

Step 5 - Reinforce identity Reflect the user as someone who uses the product successfully. Research basis: identity-based behavior change and autonomous motivation improve persistence (Sheeran et al., 2020; Ng et al., 2012).

Imported: SKILL CHAINING

Before invoking this skill, the agent should have completed:

• @customer-psychographic-profiler
• @jobs-to-be-done-analyst
• @ux-persuasion-engineer

This skill's output feeds into:

• @sequence-psychologist
• @identity-mirror
• @copywriting-psychologist

Imported: OUTPUT QUALITY CHECK

Before finalizing output, the agent asks:

• Did I define the first win clearly?
• Did I reduce setup friction?
• Did I create ownership and identity shift?
• Did I attach a stable cue to the behavior?
• Does the flow feel supportive rather than coercive?

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.