Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge.
Install Auto Memory
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jh941213/my-cc-harness auto-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills_en/auto-memory .claude/skills/auto-memory && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .claude/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jh941213/my-cc-harness auto-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills_en/auto-memory .agents/skills/auto-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .agents/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jh941213/my-cc-harness auto-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills_en/auto-memory .cursor/skills/auto-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .cursor/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jh941213/my-cc-harness.git --path skills_en/auto-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jh941213/my-cc-harness auto-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills_en/auto-memory .gemini/skills/auto-memory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .gemini/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jh941213/my-cc-harness auto-memoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills_en/auto-memory .github/skills/auto-memory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .github/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jh941213/my-cc-harness --skill auto-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jh941213/my-cc-harness auto-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills_en/auto-memory .opencode/skills/auto-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "auto-memory" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills_en/auto-memory into .opencode/skills/auto-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-memory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
auto-memory- GitHub stars
- 126
- Token cost
- ~890 tokens
- SKILL.md length
- 384 words
- Files
- 1
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge.
- Works in 2 steps: Deterministic layer (hook):… → Model layer (skill): even without a…
- Starting substantial work in a repo (implementation
- SKILL.md covers Store layout, How it works (dual routing), Workflows and Forbidden
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Auto Memory is an agent skill from jh941213/my-cc-harness. Use when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge. Operates a routing table that selectively loads only the docs/memory relevant to the task type
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development.
When your agent uses it
- Starting substantial work in a repo (implementation
- First exploring a new repo
- Finishing work that produced reusable knowledge
Example prompts
- “/auto-memory”
Requirements
- Docker
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Deterministic layer (hook): memory-route-hint.sh (UserPromptSubmit) matches prompt keywords against INDEX rows and injects a one-line hint…
- Model layer (skill): even without a hint, classify the task at start, consult INDEX, and Read only the matching files — if nothing…
What it can do on your machine
Read from SKILL.md and the folder at commit e9210e2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Auto Memory loads about 890 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 384 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 384 words (~890 tokens).
“Principle: route knowledge, don't copy it. Only the routing table is always loaded; bodies (docs and memory) are Read only when the task type matches.”
- name
- auto-memory
Files
Just SKILL.md in skills_en/auto-memory of jh941213/my-cc-harness.
Open the folder on GitHubat commit e9210e2
Compare with similar skills
Auto Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto Memory this skilljh941213/my-cc-harness | 126 | — | ~890 | Automated safety check: Pass | None | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Typescript Advanced Types
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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Related
Categories
Questions about Auto Memory
What does Auto Memory do?
A skill your agent uses when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge. Auto Memory is an agent skill from jh941213/my-cc-harness. Use when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge.
When should I use Auto Memory?
Auto Memory fits situations like: starting substantial work in a repo (implementation; first exploring a new repo; finishing work that produced reusable knowledge.
How do I install Auto Memory in Claude Code?
Run `npx skills add jh941213/my-cc-harness --skill auto-memory -a claude-code`. Or copy the skill folder (skills_en/auto-memory in jh941213/my-cc-harness) into .claude/skills/auto-memory in your project. Claude Code loads it when a task matches its description.
How do I install Auto Memory in Codex?
Run `npx skills add jh941213/my-cc-harness --skill auto-memory -a codex`. Or copy the skill folder (skills_en/auto-memory in jh941213/my-cc-harness) into .agents/skills/auto-memory in your project. Codex loads it when a task matches its description.
Can I use Auto Memory in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jh941213/my-cc-harness --skill auto-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-memory, .gemini/skills/auto-memory, .github/skills/auto-memory and .opencode/skills/auto-memory in your project.
What does Auto Memory need to run?
SKILL.md names no scripts, command-line tools or credentials: Auto Memory is instructions for the agent only. Our summary lists: Docker.
Does Auto Memory access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Auto Memory safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Auto Memory use?
No licence was found for Auto Memory or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Auto Memory use?
About 890 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Auto Memory?
Skills that share tags, products or a category with Auto Memory: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Memory?
jh941213 (a GitHub user) maintains it in jh941213/my-cc-harness, which has 126 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on August 3, 2026.
Source: jh941213/my-cc-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.