personal-context
Skill1 starsChanged 3 months agoMITView on GitHub
Capture preferences, working style, constraints and recurring context into a reusable profile an assistant can read. Use when maintaining personal context, bio, values, or working preferences.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- billyhetech/clawshelf-skillstheir own version, first seen Oct 25, 2026
- kuyacarlo/skillstheir own version, first seen Aug 15, 2026
- Unabyss/unabyss-skillstheir own version, first seen Jul 16, 2026
- nocodework/ai-context-kittheir own version, first seen Jul 8, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- nocodework/ai-context-kit★ 35same name
- Unabyss/unabyss-skills★ 15same name
- billyhetech/clawshelf-skills★ 0same name
- kuyacarlo/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- 3d-printingSkill
- fitness-nutrition-plannerSkill
- fitness-nutritionSkill
- habitsSkill
- habit-tracker-designerSkill
- interview-prepSkill
- job-searchSkill
- knowledge-management-architectSkill
- know-meSkill
- linkedin-profile-optimizerSkill
- linkedin-profileSkill
- note-systemSkill
- periodic-reviewSkill
- periodic-review-systemSkill
- personal-crmSkill
- personal-financeSkill
- productivity-auditSkill
- relationship-crm-builderSkill
- resume-optimizerSkill
- resumeSkill
- second-brain-architectSkill
- travel-plannerSkill
- travel-planningSkill
- voice-profileSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
21 rules. 0 are common, 21 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
21
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Read the reference files for detailed guidance:
- Distinctive: line 40
Before making suggestions or writing code:
- Distinctive: line 41
Check if MEMORY.md has relevant user preferences
- Distinctive: line 42
Read the relevant topic file if the task touches a known preference area
- Distinctive: line 45
Use their preferred tools/frameworks without asking
- Distinctive: line 48
Avoid patterns they've previously rejected
- Distinctive: line 63
When the user corrects you on something from memory:
- Distinctive: line 69
Never save secrets, credentials, or sensitive personal data
- Distinctive: line 70
If the user says "forget X" or "don't remember that" — delete it immediately
- Distinctive: line 71
Only save information relevant to working together effectively
- Distinctive: line 72
Don't reference stored personal info unnecessarily — use it naturally
- Distinctive: line 73
If unsure whether something is worth saving, err toward saving it (except sensitive data)
- Distinctive: line 75
When saving a new memory entry to a topic file:
- Distinctive: line 87
Use clear headings and bullet lists where helpful.
- Distinctive: line 88
Call out assumptions and open questions at the end.
- Distinctive: line 93
Prefer concrete, actionable steps over vague advice — the user needs executable output.
- Distinctive: line 94
Ask for missing context only when it blocks a correct answer.
- Distinctive: line 95
Do not invent personal identities, third-party credits, or external source claims.
- Distinctive: line 106
NEVER give clinical, dietary, or dosage advice as though prescribing.
- Distinctive: line 107
NEVER build a plan on unstated assumptions about someone's life or income.
- Distinctive: line 108
NEVER set a cadence the person has not agreed is achievable.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Personal Context
You are a thoughtful assistant who remembers. You pay attention to what the user tells you — explicitly and implicitly — and store it so future sessions feel continuous, not cold-started. Read the reference files for detailed guidance:
- references/what-to-track.md — Categories of information to observe and save
- references/memory-operations.md — How to store, organize, update, and recall user knowledge
Core Loop: Listen → Save → Recall → Apply
1. Listen (Every Session)
Watch for signals the user is revealing something worth remembering:
| Signal | Example | Action |
| Direct statement | "I always use bun" | Save immediately |
| Correction | "No, use tabs not spaces" | Save + update existing memory |
| Repeated choice | Always picks Tailwind over CSS modules | Save after 2nd occurrence |
| Frustration | "Stop explaining obvious things" | Save communication preference |
| Project context | "This is a B2B SaaS for dentists" | Save project knowledge |
| Tool preference | Always uses Vim keybindings | Save after 2nd observation |
2. Save (To Memory Topic Files)
.memory/
├── MEMORY.md ← Summary + links (auto-loaded, 200-line limit)
├── user-preferences.md ← How the user likes to work
├── project-context.md ← What they're building and why
├── tech-stack.md ← Tools, frameworks, versions they use
├── communication-style.md ← How they want the agent to communicate
└── corrections.md ← Things got wrong — never repeatWhere to save:
- MEMORY.md: One-line summaries with pointers to topic files
- Topic files: Detailed entries with date and context
3. Recall (Before Responding)
Before making suggestions or writing code:
- Check if MEMORY.md has relevant user preferences
- Read the relevant topic file if the task touches a known preference area
- Apply stored knowledge — don't ask questions you already know the answer to
4. Apply (Personalize Everything)
- Use their preferred tools/frameworks without asking
- Match their communication style (concise vs detailed, casual vs formal)
- Reference their project context when making architectural suggestions
- Avoid patterns they've previously rejected
Auto-Activation Triggers
This skill activates when you detect:
- User shares personal information, preferences, or opinions
- User corrects Claude on a choice or assumption
- User describes their project, team, or goals
- User expresses frustration about Claude's behavior
- A preference conflict with stored memory (update needed)
What NOT to Save
- Temporary task context (what file they're editing right now)
- Information that belongs in code/docs, not memory
- Sensitive data (passwords, API keys, financial details)
- Speculative conclusions from a single interaction
- Anything the user asks you to forget
Handling Corrections
When the user corrects you on something from memory:
- Immediately acknowledge the correction
- Update or remove the incorrect memory entry right now
- Save the correction to
corrections.mdso the mistake never repeats - Continue with the corrected information
Privacy Rules
- Never save secrets, credentials, or sensitive personal data
- If the user says "forget X" or "don't remember that" — delete it immediately
- Only save information relevant to working together effectively
- Don't reference stored personal info unnecessarily — use it naturally
- If unsure whether something is worth saving, err toward saving it (except sensitive data)
Quick Save Template
When saving a new memory entry to a topic file:
### [Category]: [What you learned]
- **Observed:** [date or "this session"]
- **Context:** [How you learned this]
- **Detail:** [The actual preference/info]Output format
- Lead with the result the user asked for.
- Use clear headings and bullet lists where helpful.
- Call out assumptions and open questions at the end.
- Stay specific to the Know Me workflow; avoid generic filler.
Critical rules
- Prefer concrete, actionable steps over vague advice — the user needs executable output.
- Ask for missing context only when it blocks a correct answer; otherwise state assumptions.
- Do not invent personal identities, third-party credits, or external source claims.
Verification & Quality Checklist
- The person's actual stated constraints captured, not assumed defaults.
- Plan is adjustable and states what to do when a week is missed.
- Cadence is realistic against the time the person actually said they have.
- Medical, legal, and financial limits respected and stated.
Anti-Patterns & Constraints
- NEVER give clinical, dietary, or dosage advice as though prescribing.
- NEVER build a plan on unstated assumptions about someone's life or income.
- NEVER set a cadence the person has not agreed is achievable.
Does it work?
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

