Translation Diff Export
Devolutions/UniGetUI
Compares UniGetUI JSON locale files against English, identifies untranslated or source-changed keys, and generates patch, reference, and handoff files for a target language.
A latticework thinking advisor built on Charlie Munger's mental models framework.
$ npx skills add LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills botlearn-mental-models --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .claude/skills/botlearn-mental-models && 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 "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .claude/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-modelsType 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 LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills botlearn-mental-models --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .agents/skills/botlearn-mental-models && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .agents/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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 LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills botlearn-mental-models --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .cursor/skills/botlearn-mental-models && 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 "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .cursor/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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/LeoYeAI/openclaw-master-skills.git --path skills/botlearn-mental-models/thinking-models--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 LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills botlearn-mental-models --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .gemini/skills/botlearn-mental-models && 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 "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .gemini/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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 LeoYeAI/openclaw-master-skills botlearn-mental-modelsInstalls 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 LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .github/skills/botlearn-mental-models && 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 "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .github/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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 LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills botlearn-mental-models --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/botlearn-mental-models/thinking-models .opencode/skills/botlearn-mental-models && 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 "botlearn-mental-models" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/botlearn-mental-models/thinking-models into .opencode/skills/botlearn-mental-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "botlearn-mental-models", 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.
botlearn-mental-modelsA latticework thinking advisor built on Charlie Munger's mental models framework.
Botlearn Mental Models is an agent skill from LeoYeAI/openclaw-master-skills. A latticework thinking advisor built on Charlie Munger's mental models framework. Activate when the user faces a genuine judgment call — a decision where reasonable people could disagree, where the right answer depends on their specific situation, or where the framing itself might be wrong. When in doubt, activate. Skip for: pure execution (code, translation, formatting), information retrieval with a knowable answer (which stocks benefit from X, what happened in Y), and questions where a search engine gives a…
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files (for example `01-first-principles.md`, `02-evolutionary-thinking.md` and `03-systems-thinking.md`).
It sits in Writing & Content, covering Translation. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Botlearn Mental Models loads about 2.7k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 924 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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 924 words, ~2,654 tokens.
.claude/skills/botlearn-mental-models/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.This skill succeeds when the user sees the problem differently after reading the output. Not when the analysis is thorough. When the framing shifts. That happens when two unrelated disciplines independently point to the same conclusion — convergence from separate bodies of knowledge is hard to explain away. That independence is what gives it weight.
Read this first. Every rule below explains why this example works.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LATTICEWORK invest in AI infrastructure company?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Confidence MEDIUM — logic holds, timeline unknown
Wait How much do we lose if commoditization hits in 3 years?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY You're pricing a commoditization timeline, not a company. No one knows that number — including them.
◆ PATTERN Every infrastructure layer eventually commoditized. High margins are a timing advantage, not a moat.
· Evolutionary Thinking × Scale & Power Laws
◆ INCENTIVE Their largest customers have the most incentive to build this themselves. Best clients are the most dangerous ones.
· Game Theory × Institutions Matter
◆ TENSION 3 years: expensive. 7 years: cheap. The lattice can't tell you which — that's the actual decision.
· Probabilistic Thinking
◆ RISK Two similar bets already in portfolio. A third is concentration risk, not conviction.
· Margin of Safety
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━◆ each supporting line — always labeled. Confidence in words: "3 lenses converge, one unresolved tension" not just "Medium".
4 Munger Meta-Lenses — run these on every judgment call:
| # | Lens | Lights up when... |
|---|---|---|
| M1 | Inversion | Always — flip every goal, ask what guarantees failure |
| M2 | Circle of Competence | User reasoning confidently outside their knowledge base |
| M3 | Margin of Safety | Any plan requiring things to go right |
| M4 | Lollapalooza Effect | 3+ lenses converging — name the non-linear amplification |
20 Disciplinary Lenses:
| # | Lens | Discipline | Lights up when... |
|---|---|---|---|
| 01 | First Principles | Physics/Engineering | Accepting constraints that might not be real |
| 02 | Evolutionary Thinking | Biology | Persistent behavior, competition, incentives not making surface sense |
| 03 | Systems Thinking | Engineering/Ecology | Interventions failing, unexpected side effects, recurring problems |
| 04 | Probabilistic Thinking | Statistics/Psychology | Confident predictions, hindsight narratives, outcome bias |
| 05 | Antifragile | Statistics/Philosophy | Risk as thing to eliminate; volatility framed as pure negative |
| 06 | Paradigm Shift | History of Science | Debate stuck — both sides share a wrong frame |
| 07 | Scale & Power Laws | Physics/Biology | Growth assumptions; big things behaving differently than small |
| 08 | Entropy & Information | Physics/Math | Signal vs noise; communication breakdown; measuring uncertainty |
| 09 | Game Theory | Mathematics | Multi-party decisions; each player's move depends on predicting others |
| 10 | Network Effects | Physics/Sociology | Platform dynamics; adoption curves; who becomes the hub |
| 11 | Scarcity & Bandwidth | Psychology/Economics | Smart people making bad decisions under resource or attention pressure |
| 12 | Reframing Causation | Geography/History | Outcomes attributed to talent/culture when structure explains more |
| 13 | Institutions Matter | Political Economy | Assuming better people or technology fixes a structural problem |
| 14 | Power & Discourse | Sociology/Philosophy | Who defines the rules; whose knowledge gets legitimized |
| 15 | Self-Reference | Mathematics/Logic | Systems trying to fully understand or control themselves |
| 16 | Narrative as Reality | Anthropology | Why people coordinate; what holds organizations together |
| 17 | Medium Shapes Message | Media Theory | New tool assumed neutral; underestimating how medium reshapes behavior |
| 18 | Meaning Under Pressure | Psychology/Philosophy | Burnout, motivation collapse, teams losing the why |
| 19 | Scientific Skepticism | Philosophy of Science | Confident claims without falsifiable evidence |
| 20 | Non-linear / Wu Wei | Eastern Philosophy | Forcing outcomes that might resolve better with less intervention |
Explicit judgment calls — always activate:
Embedded judgment nodes — activate when you find one inside an execution task:
A user writing a PRD has an untested market assumption buried in section 2. A user designing an org chart is making a theory-of-management bet. A user asking for help with messaging is assuming they know what the customer fears.
Complete the task first, then surface the lattice. Don't interrupt — annotate after.
Never activate for:
The test before activating: does this question have a standard answer, or does it require judgment specific to this person's situation? "How does X affect markets" = information. "Should I change my portfolio given X" = judgment.
When uncertain: would this lattice shift the user's framing, or just add words? The bar isn't "is there something to say" — it's "would a smart person see this and think they wouldn't have seen it themselves." If not, stay silent. A missed insight is recoverable. A noisy skill gets ignored.
Step 1: Let lenses surface
Hold the judgment call in mind. Let relevant lenses surface — reach into the toolkit, not a checklist. Keep only those that reveal something non-obvious the user's framing misses.
Then run the 4 Meta-Lenses — they govern the others.
Step 2: Find the intersections
Step 3: Default output
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LATTICEWORK [topic]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Confidence HIGH / MEDIUM / LOW — [one clause]
Action / Wait [One verb. Or: wait until X.]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Expand to full lattice only when the reasoning behind the conclusion changes what the user does.
Step 4: Full lattice
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LATTICEWORK [topic]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Confidence HIGH / MEDIUM / LOW — [one clause]
Action / Wait [Verb first. Or: wait until X.]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY [Conclusion — one line]
◆ PATTERN [A recurring dynamic this situation fits]
· [Lens A] × [Lens B]
◆ INCENTIVE [Who has reason to do what, and why that matters here]
· [Lens C] + [Lens D]
◆ TENSION [What's unresolved. Two paths. Pick one.]
· [Lens E] vs [Lens F]
◆ RISK [Specific downside if the key assumption is wrong]
· [Lens]
◆ ASYMMETRY [Upside vs downside — only if genuinely lopsided]
◆ TIMING [Act now because X / wait until Y]
◆ LIMIT [What's outside reliable judgment here. Who to ask.]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Labels: PATTERN / INCENTIVE / TENSION / RISK / ASYMMETRY / TIMING / LIMIT Use only those present. Every ◆ needs a label.
Omit any line not genuinely present. Two sharp lines beat five manufactured ones.
The lens name should be a label, not the insight itself. If deleting it makes the line meaningless, the insight was the framework, not the situation — rewrite it to be specific.
Triggered when the user asks to review their reasoning — "what are my blind spots", "diagnose my thinking", "how am I approaching this". Ask for a recent decision or high-confidence position, then scan the lattice on their reasoning pattern.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
THINKING DIAGNOSTIC
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
▎ [The dominant pattern in how this person thinks]
◆ Strength: [what lens they're using well]
◆ Blind quadrant: [discipline entirely absent]
◆ Highest-value unlock: [the one lens that would most change their analysis]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
One question to sit with:
[What the lattice reveals they haven't asked]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━One is enough if it's right.
Follow the user's input language. Chinese output uses bilingual lens names: [系统思维 · Systems Thinking]. Switch mid-conversation → follow immediately.
When the index isn't enough to articulate a precise intersection:
models/
├── 01-first-principles.md ├── 11-scarcity-bandwidth.md
├── 02-evolutionary-thinking.md ├── 12-reframing-causation.md
├── 03-systems-thinking.md ├── 13-institutions-matter.md
├── 04-probabilistic-thinking.md ├── 14-power-discourse.md
├── 05-antifragile.md ├── 15-self-reference.md
├── 06-paradigm-shift.md ├── 16-narrative-reality.md
├── 07-scale-power-laws.md ├── 17-medium-shapes-message.md
├── 08-entropy-information.md ├── 18-meaning-under-pressure.md
├── 09-game-theory.md ├── 19-scientific-skepticism.md
├── 10-network-effects.md └── 20-nonlinear-wuwei.mdLoad one or two files maximum. The intersection is the insight — not the depth of any single lens.
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 20 other files in skills/botlearn-mental-models/thinking-models of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Botlearn Mental Models 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 |
|---|---|---|---|---|---|---|
| Botlearn Mental Models this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Translation Diff ExportDevolutions/UniGetUI | 26k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Sync Translationssymfony/symfony | 31k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Translation Diff ImportDevolutions/UniGetUI | 26k | — | ~750 | Automated safety check: Pass | MIT | |
| Translation Diff TranslateDevolutions/UniGetUI | 26k | — | ~934 | Automated safety check: Pass | MIT | |
| Generate Translationspayloadcms/payload | 45k | — | ~1.1k | Automated safety check: Pass | MIT |
Devolutions/UniGetUI
Compares UniGetUI JSON locale files against English, identifies untranslated or source-changed keys, and generates patch, reference, and handoff files for a target language.
symfony/symfony
Synchronize translation catalogs across maintained Symfony branches: find messages that newer branches added to the English catalogs but that are still missing from the oldest maintained branch…
Devolutions/UniGetUI
Merges translated key-value pairs from a UniGetUI JSON localization patch back into the full language file and validates the merged result.
Devolutions/UniGetUI
Translates a sparse UniGetUI JSON language patch, writes completed entries into the working copy, preserves placeholders and terminology, and prepares the patch for merge-back.
payloadcms/payload
A skill your agent uses when new translation keys are added to packages to generate new translations strings
Narcooo/inkos
Drives long-form fiction, scripts, storyboards, interactive films and long-document translation through InkOS, with every change made by a typed action.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
A latticework thinking advisor built on Charlie Munger's mental models framework. Botlearn Mental Models is an agent skill from LeoYeAI/openclaw-master-skills. A latticework thinking advisor built on Charlie Munger's mental models framework.
Botlearn Mental Models fits situations like: faces a genuine judgment call — a decision where reasonable people could disagree; where the right answer depends on their specific situation; where the framing itself might be wrong.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a claude-code`. Or copy the skill folder (skills/botlearn-mental-models/thinking-models in LeoYeAI/openclaw-master-skills) into .claude/skills/botlearn-mental-models in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a codex`. Or copy the skill folder (skills/botlearn-mental-models/thinking-models in LeoYeAI/openclaw-master-skills) into .agents/skills/botlearn-mental-models in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill botlearn-mental-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/botlearn-mental-models, .gemini/skills/botlearn-mental-models, .github/skills/botlearn-mental-models and .opencode/skills/botlearn-mental-models in your project.
SKILL.md names no scripts, command-line tools or credentials: Botlearn Mental Models is instructions for the agent only.
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.
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.
Botlearn Mental Models is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Botlearn Mental Models: Translation Diff Export (Devolutions/UniGetUI, 26k stars), Sync Translations (symfony/symfony, 31k stars), Translation Diff Import (Devolutions/UniGetUI, 26k stars) and Translation Diff Translate (Devolutions/UniGetUI, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.