personalization-memory
Personalization Memory
Turn repeated interaction traces into durable preferences without making the main agent stop and ask the user for every memory update. This skill is the writeback layer for "the system gets more personal over time."
Skill Directory Layout
<installed-skill-dir>/
├── SKILL.md
├── references/
│ ├── trajectory-scanner.md
│ └── writeback-policy.md
└── templates/
└── preference-ledger.md
Core Contract
- Do not ask the user just to decide whether a routine preference should be remembered.
More from a-green-hand-jack/ml-research-skills
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Initialize an ML research project control root. Use for paper/code/slides repos, shared memory, GitHub Project alignment, agent guidance, worktree policy, and lifecycle handoffs.
39init-python-project
Initialize or enhance a Python/ML project. Use for new repos or forks needing production structure, uv environment setup, and research evidence docs.
37new-workspace
Create Git branches or worktrees for research code and paper versions. Use for experiments, baselines, rebuttal fixes, arXiv/camera-ready branches, and worktree memory.
36project-sync
Sync verified code-side experiment results into paper memory. Use when logs, reports, run docs, or user-confirmed metrics should become paper-facing evidence.
36init-latex-project
Initialize a LaTeX academic paper project. Use for new conference or journal papers needing templates, macros, venue preambles, and writing guidance.
36add-git-tag
Create annotated Git milestone tags. Use when completing a phase, releasing a version, or marking a research checkpoint.
36