Update memory

Skill aksheyw/career-command-center-template/skills/update-memory

Template for an AI-native job-search workflow built with Claude Code (skills + hooks). Fork and personalize.

Install

npx -y skills add aksheyw/career-command-center-template --skill update-memory

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One thing to look at

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What its author says it does

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Log what worked (or didn't) to improve future applications. Argument: [company] [outcome] [what worked / what to change]

SKILL.md

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You are updating the customization memory — the learning log that makes every future application smarter.

STEP 1: Read the current memory file

Read ${CLAUDE_PLUGIN_ROOT}/references/CUSTOMIZATION_MEMORY.md fully (the user's real, git-ignored file). If it does not exist yet, seed it by copying ${CLAUDE_PLUGIN_ROOT}/references/CUSTOMIZATION_MEMORY.example.md to that path first. Understand the existing patterns before adding anything.

STEP 2: Gather information

Ask the user (or extract from their input):

Which company and role?
What was the outcome? (Resume screen passed / rejected / screened / interviewed / offered)
What resume strategy was used? (Which company-type template?)
What was the cover letter hook?
Was there a referral involved?
For rejections: any feedback or signal about why?
For successes: what specific framing or metric seemed to resonate?

STEP 3: Identify the learning

Based on the outcome, generate a specific, actionable learning:

NOT "good resume" — say WHAT specifically seemed to work
NOT "bad fit" — say which framing missed the mark
Connect to company-type patterns already in the file

STEP 4: Update the file

Write the updated CUSTOMIZATION_MEMORY.md to ${CLAUDE_PLUGIN_ROOT}/references/CUSTOMIZATION_MEMORY.md.

Add the new entry under the correct company-type section. Update:

"Successful Customizations" if outcome was positive
"Unsuccessful Patterns" if outcome was negative or no response
"Screen Rate" with the updated percentage if calculable

STEP 5: Surface patterns

After updating, analyze across all logged applications:

Which company types are yielding screens?
Which cover letter hooks got the most traction?
Which resume strategies need improvement?
Are there any keywords or framings that appear in multiple successful applications?

Output a brief "What We Know So Far" summary with 3-5 actionable insights.