跳到正文
cccskills
免费在 GitHub 公开

build-my-memory-file

Interview you into a durable personal MEMORY.md — your decision rules, patterns, past failures, and preferences — that any AI can read to help you better, with privacy guardrails built in. Use when asked to build my memory file, help my AI remember me, create a MEMORY.md, or set up context about myself. Produces a structured personal-context file drawn out through good questions (how you decide, what you keep repeating, what you don't want to repeat), organized for an AI to use — while explicitly refusing to store sensitive data like credentials, financial, health, or others' personal info.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md4.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Build My Memory File

The single biggest upgrade to working with AI isn't a better prompt — it's a MEMORY.md that captures how you work, so you stop re-explaining yourself every session. This interviews you into one: your decision criteria, recurring patterns, past mistakes worth not repeating, and preferences — organized so any AI can read it and help you better. And it has a hard privacy line: no credentials, no financial, health, or other people's personal data.

Not quite this? Use memory-file-maintenance when you already have a memory file that has drifted and needs pruning.

What This Skill Produces

  • A structured MEMORY.md — your durable personal context, in sections an AI can use
  • Your decision rules — how you actually make choices, your criteria, your non-negotiables
  • Your patterns — the things you keep doing (good and bad), your recurring instructions and preferences
  • Your "don't repeat these" — past failures and lessons worth remembering
  • Working preferences — how you like things done, communicated, and delivered
  • A privacy firewall — an explicit list of what NOT to store, and it refuses to include it

Required Inputs

Ask for these if not provided:

  • The scope — general life, or a specific domain (work, a project, health-adjacent-but-not-sensitive)
  • What you keep re-explaining — the context you're tired of repeating to AI
  • Your patterns — decisions you make the same way, mistakes you repeat
  • Your preferences — how you like output, communication, and process

Framework: Interview, Structure, Protect

  1. Draw it out with questions. Most people can't just list their operating rules — good questions surface them ("how do you usually decide X?", "what do you keep having to redo?").
  2. Capture rules, patterns, and failures. The high-value contents: decision criteria, recurring preferences, and past mistakes not to repeat.
  3. Write it for an AI to use. Structure it in clear sections with concrete, actionable statements — not vague self-description.
  4. Enforce the privacy line. Explicitly refuse to store credentials, account numbers, financial details, health data, home address, authentication info, or other people's personal information — and tell the user to manage those elsewhere.
  5. Make it maintainable. Keep it a living file — a format easy to add one line to over time, and a note on how to use it (paste it, or reference it in a global AI config).

Output Format

MEMORY.md — [scope]

# My decision rules
- [how I decide X / my criteria / non-negotiables]

# My patterns
- [recurring preferences, instructions, tendencies]

# Don't repeat these (past lessons)
- [mistakes not to make again]

# How I like things done
- [communication / output / process preferences]

How to use it: [paste at the start of a session, or add to your AI's global config]. Keeping it alive: add one line whenever you notice a rule or lesson.

Not stored here: passwords, account/card numbers, financial or health details, home address, auth info, or other people's personal information. Keep those in a secure place you control — never in AI-readable memory.

Quality Checks

  • Draws content out through questions, not a blank template
  • Captures decision rules, patterns, and past-failure lessons
  • Written as concrete, AI-usable statements
  • Explicitly excludes and refuses sensitive/personal data
  • Is a maintainable, living format with usage guidance

Anti-Patterns

  • A blank template with no interviewing.
  • Vague self-description an AI can't act on.
  • Storing sensitive data (credentials, financial, health, others' info) — hard no.
  • A one-off file with no way to keep it current.

Example Trigger Phrases

  • "Help me build a MEMORY.md so my AI understands how I work."
  • "Interview me into a personal context file for Claude."
  • "I'm tired of re-explaining myself to AI — set up my memory."
  • "Create a file of my decision rules and preferences."
  • "Help my AI remember my patterns and past mistakes."

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

Build or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.

中文简介正在准备中。当前显示原文说明。

mohitagw15856/pm-claude-skills14822026年10月23日 更新

查看 mohitagw15856 的全部技能

报告此技能的问题