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AI workflow systemCustom Claude skillActive · v2.1
Launchpad

A career-readiness system with a score, a plan, and a memory.

Launchpad answers “Am I qualified?” with a readiness score, a gap map, and one task at a time. It keeps goals, evidence, and progress across sessions.

Live system preview

A command center that keeps the plan

Launchpad updates a command center with goals, tasks, score history, streaks, and evidence. Each session starts with the current plan.

Launchpad command center

Synced

Target role · Remote

Creative technologist

4/5

Focused proof-building

Today’s task

Publish the Launchpad case study

~45 minProof gap3-month goal

Publish the working Claude skill as evidence of AI workflow design, persistent state, and product judgment.

Done when the public case study explains the system and links to the downloadable skill.

Momentum

8

days of visible career-building work

Nearest goals

3 months

Ship two AI-system case studies and sharpen positioning.

6 months

Apply consistently to Creative Technologist-adjacent roles.

12 months

Land a role combining AI systems, content, and interaction.

System model

Four flows manage the work

The system handles assessment, daily work, portfolio improvement, and lost momentum as separate states with separate rules.

01

Assess

Compare the target role with the user’s evidence, score readiness, and assign the first useful task.

02

Advance

Record completed or missed work, update progress, and choose the next high-value action.

03

Build proof

Improve the résumé, LinkedIn profile, portfolio, and public writing against the target role.

04

Protect momentum

Review what changed, separate a setback from a plateau, and assign one small, visible win.

Core framework

Match each gap to the right fix

Launchpad separates skill, proof, language, and positioning so the user works on the actual gap.

01

Skill

Can they do the work?

Practice, training, or direct experience
02

Proof

Can they prove it?

A visible artifact, case study, or result
03

Language

Can they explain it?

Stronger framing and role-aligned vocabulary
04

Positioning

Does the full story make sense?

A clearer narrative connecting the evidence

Design principles

Give honest guidance without burying the user

01

Honesty without a dead end

Launchpad uses an honest score, explains it, and shows what would improve it.

02

One task, not an avalanche

Launchpad ranks work by goal, value, available energy, and the need to rebuild momentum.

03

Rest is part of the model

Users choose their rest days. Scheduled rest does not break a streak or count as missed work.

04

Discouragement changes the route

The system reviews completed work, checks for a real plateau, and assigns one visible win.

17

initial assessment sections

8

progress update sections

5

content review sections

5

momentum check-in sections

Implementation

Keep state without a database

The command center is a self-contained HTML file. JavaScript objects store the goals, history, and pipeline that Claude reads in the next session.

01

User context

Goals, target role, evidence, constraints

02

Launchpad skill

Rules, routing, scoring, task logic

03

Command center

Self-contained HTML, CSS, and JavaScript

04

Persistent state

Goals, streaks, score history, pipeline

05

Next session

Claude reads state and continues the system

Changelog

Version 2.1 fixed security and routing issues

Version 2 improved task routing and momentum support. Version 2.1 added safer rendering, migration logic, clearer routing, and half-score support after a security and scope review.

v2.1v2.0v1.0
  • Escaped variable content before DOM insertion
  • Blocked javascript: URLs and whitelisted status values
  • Clarified closing-script injection guidance
  • Fixed Flow 4 priority when discouragement and missed work overlap
  • Added SCORE_HISTORY migration support for v1 artifacts
  • Clarified CONTENT_PIPELINE versus COMPLETED_DAYS
  • Added half-score labels and cleaned stale Flow 3 naming

What I built

I can define the rules, state, interface, documentation, and review points for an AI workflow

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