Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Persist learning across turns by actively maintaining MENTALMODEL.md in the workspace.
Install Continual Learn
$ npx skills add melandlabs/openloomi --skill continual-learn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install melandlabs/openloomi continual-learn --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/melandlabs/openloomi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .claude/skills/continual-learn && 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 "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .claude/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learnType 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 melandlabs/openloomi --skill continual-learn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install melandlabs/openloomi continual-learn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .agents/skills/continual-learn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .agents/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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 melandlabs/openloomi --skill continual-learn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install melandlabs/openloomi continual-learn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .cursor/skills/continual-learn && 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 "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .cursor/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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/melandlabs/openloomi.git --path benchmark/continual-learning-bench/skills/continual-learn--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 melandlabs/openloomi --skill continual-learn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install melandlabs/openloomi continual-learn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .gemini/skills/continual-learn && 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 "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .gemini/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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 melandlabs/openloomi continual-learnInstalls 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 melandlabs/openloomi --skill continual-learn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .github/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .github/skills/continual-learn && 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 "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .github/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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 melandlabs/openloomi --skill continual-learn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install melandlabs/openloomi continual-learn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/benchmark/continual-learning-bench/skills/continual-learn .opencode/skills/continual-learn && 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 "continual-learn" agent skill from https://github.com/melandlabs/openloomi/tree/main/benchmark/continual-learning-bench/skills/continual-learn into .opencode/skills/continual-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continual-learn", 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
continual-learn- GitHub stars
- 1k
- Token cost
- ~444 tokens
- SKILL.md length
- 208 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Persist learning across turns by actively maintaining MENTALMODEL.md in the workspace.
- Iterative coding
- SKILL.md covers Non-negotiable file workflow, What to record and Hygiene
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Any feedback-driven task
What it does
Continual Learn is an agent skill from melandlabs/openloomi. Persist learning across turns by actively maintaining MENTALMODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.
Its SKILL.md is about 440 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. The repository describes itself as: OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do… The licence is Apache-2.0.
When your agent uses it
- Iterative coding
- Any feedback-driven task
- Read and update the file with actual filesystem writes before every response
- Never just hidden/internal memory
Example prompts
- “/continual-learn”
What it can do on your machine
Read from SKILL.md and the folder at commit 2aca101. 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.
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
Continual Learn loads about 444 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 208 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
The full file from melandlabs/openloomi at commit 2aca101, republished under its Apache-2.0 licence (© melandlabs). 208 words, ~444 tokens.
Download SKILL.mdSave it as
.claude/skills/continual-learn/SKILL.md (or your agent's skills folder).- name
- continual-learn
- description
- Persist learning across turns by actively maintaining MENTAL_MODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.
You must maintain a real workspace file, MENTAL_MODEL.md, as your durable scratchpad for this task.
Non-negotiable file workflow
- Use
./MENTAL_MODEL.mdin the current workspace; create it if it does not exist. - At the start of each turn, consult the current file when possible.
- Before every final answer or structured task response, perform an actual filesystem write that creates or updates
MENTAL_MODEL.md. - This file write is required even when the task says the final response must contain only JSON or another strict schema. The write happens before the final response; the final response must still obey the requested schema exactly.
- If a dedicated file-write/edit operation is available, use it. Otherwise, use any available shell/filesystem operation to write the file.
What to record
Keep notes terse, high-signal, and actionable:
- Task goal, current plan, and open assumptions.
- Feedback received and what it changes.
- Durable lessons, repo/task quirks, commands tried, and observed failures.
- Hypotheses being tested and evidence for/against them.
- Current state and the next concrete action.
- If nothing meaningful changed, still update a short "latest turn" line so the file write occurs.
Hygiene
- Keep the file compact; rewrite or prune stale notes as needed.
- Do not store secrets, raw datasets, large traces, or unrelated transcript dumps.
Always write MENTAL_MODEL.md before responding.
© melandlabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in benchmark/continual-learning-bench/skills/continual-learn of melandlabs/openloomi.
Open the folder on GitHubat commit 2aca101
Compare with similar skills
Continual Learn 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 |
|---|---|---|---|---|---|---|
| Continual Learn this skillmelandlabs/openloomi | 1k | — | ~444 | Automated safety check: Pass | Apache-2.0 | |
| 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 Continual Learn
What does Continual Learn do?
Persist learning across turns by actively maintaining MENTALMODEL.md in the workspace. Continual Learn is an agent skill from melandlabs/openloomi.md in the workspace.
When should I use Continual Learn?
Continual Learn fits situations like: iterative coding; any feedback-driven task; read and update the file with actual filesystem writes before every response; never just hidden/internal memory.
How do I install Continual Learn in Claude Code?
Run `npx skills add melandlabs/openloomi --skill continual-learn -a claude-code`. Or copy the skill folder (benchmark/continual-learning-bench/skills/continual-learn in melandlabs/openloomi) into .claude/skills/continual-learn in your project. Claude Code loads it when a task matches its description.
How do I install Continual Learn in Codex?
Run `npx skills add melandlabs/openloomi --skill continual-learn -a codex`. Or copy the skill folder (benchmark/continual-learning-bench/skills/continual-learn in melandlabs/openloomi) into .agents/skills/continual-learn in your project. Codex loads it when a task matches its description.
Can I use Continual Learn 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 melandlabs/openloomi --skill continual-learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continual-learn, .gemini/skills/continual-learn, .github/skills/continual-learn and .opencode/skills/continual-learn in your project.
What does Continual Learn need to run?
SKILL.md names no scripts, command-line tools or credentials: Continual Learn is instructions for the agent only.
Does Continual Learn 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 Continual Learn 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 Continual Learn use?
Continual Learn is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Continual Learn use?
About 444 tokens (SKILL.md is roughly 1.8k 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 Continual Learn?
Skills that share tags, products or a category with Continual Learn: 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 Continual Learn?
melandlabs (a GitHub organization) maintains it in melandlabs/openloomi, which has 1,037 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 24, 2026.
Source: melandlabs/openloomi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.