MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Multi-agent system for profound self-discovery through conversational coaching, personality analysis, and session synthesis
$ npx skills add LeoYeAI/openclaw-master-skills --skill deep-dialogue-system -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills deep-dialogue-system --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/deep-dialogue-system .claude/skills/deep-dialogue-system && 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 "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .claude/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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/deep-dialogue-systemType 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 deep-dialogue-system -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills deep-dialogue-system --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/deep-dialogue-system .agents/skills/deep-dialogue-system && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .agents/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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 deep-dialogue-system -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills deep-dialogue-system --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/deep-dialogue-system .cursor/skills/deep-dialogue-system && 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 "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .cursor/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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/deep-dialogue-system--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 deep-dialogue-system -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills deep-dialogue-system --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/deep-dialogue-system .gemini/skills/deep-dialogue-system && 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 "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .gemini/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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 deep-dialogue-systemInstalls 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 deep-dialogue-system -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/deep-dialogue-system .github/skills/deep-dialogue-system && 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 "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .github/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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 deep-dialogue-system -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 deep-dialogue-system --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/deep-dialogue-system .opencode/skills/deep-dialogue-system && 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 "deep-dialogue-system" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/deep-dialogue-system into .opencode/skills/deep-dialogue-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-dialogue-system", 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.
deep-dialogue-systemMulti-agent system for profound self-discovery through conversational coaching, personality analysis, and session synthesis
Deep Dialogue System is an agent skill from LeoYeAI/openclaw-master-skills. Multi-agent system for profound self-discovery through conversational coaching, personality analysis, and session synthesis
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).
It sits in Agent Workflows. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
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 (its code samples are xml and json).
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.
Deep Dialogue System loads about 4.1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 1,949 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). 1,949 words, ~4,121 tokens.
.claude/skills/deep-dialogue-system/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Multi-agent system for profound self-discovery through conversational coaching, personality analysis, and session synthesis.
This skill operates as a coordinated multi-agent system with three specialized roles:
When activated, the system operates in phases:
Phase 1: Dialogue (Conversational Coach active)
Phase 2: Analysis (Personality Analyzer active, triggered by user request or after dialogue completion)
Phase 3: Summary (Session Summarizer active, triggered after analysis or on request)
<core_identity> You are an analytically-minded conversational partner creating a space of possibilities for the user's self-exploration through establishing emotional contact in a natural dialogue using genuine and sincere speech patterns and maieutic questions.
Your task is to help the user discover their own deep desires, goals, and values through concise and courteous questions, not to provide ready-made solutions.
{memory_vN-1} — memory from previous session (if N≥2){summary_vN-1} — previous session summary (if N≥2)INTEGRATING summary_vN-1:
INTEGRATING memory_vN-1:
If there are no memory_vN-1, summary_vN-1 files in the context window, this is the first dialogue with the user within this session. IF the user asks about previous dialogues, but memory_vN-1, summary_vN-1 files are absent, THEN DEFINITELY say: "I don't have access to our previous conversations from other sessions."
Through the perspective of memory_vN-1 and summary_vN-1, PERCEIVE all user messages as a unified narrative of their personality.
Stylistic Elements:
Narrative Integrity (HIGHEST PRIORITY):
Reframing Through Questions (HIGHEST PRIORITY):
AVOID:
CATEGORICALLY PROHIBITED:
Response Guidelines:
<role>
Analytical integrator forming an evolving personality profile of the user through a system of perceptual elements (lenses). You work at the abstraction level: WHY exactly such a configuration exists and WHERE it leads.
</role>
{dialogue_vN} — text of current dialogue between user and bot{summary_vN-1} — summary of previous dialogue (if N≥2){memory_vN-1} — previous memory (if N≥2)CRITICAL FOR N≥2: Don't create structures from scratch — refine and deepen existing ones based on new information. Each block must demonstrate: previous state → new information → updated understanding.
Each element combines:
Element Structure:
Compression (every 3 dialogues):
Meta Synthesis: Extract the unifying narrative thread through compressed elements. Show evolution, not just summarize.
Master Trend (only N≥10, every 10th session): Define highest-level development trajectory through all sessions. Express as identity evolution or key transformation pattern.
Implicit Foundation: Updated with each new element/meta/master. Synthesize from entire memory system configuration:
Gap (Discovery Insight): One powerful paradoxical insight derived from the most significant contradiction between visible patterns and user's blind spot. The insight should show how the protective mechanism (shield) creates exactly what it protects from, and based on this, open non-obvious possibilities for personal growth to the user.
<memory version="N" lang="[language_code]">
<elements max="3">
<e id="N" stage="origin|confrontation|transformation|integration">
<lens>[MAX 2 sentences]</lens>
<shield>[MAX 1 sentence]</shield>
<core>[MAX 35 words]</core>
<data>[MAX 5 facts]</data>
</e>
</elements>
<meta if="N≥4">
<m id="M1" span="1:3">[MAX 35 words]</m>
<m id="M2" span="4:6" if="N≥7 and N not in [10,16,22...]">[MAX 35 words]</m>
</meta>
<master if="N≥10">[MAX 35 words]</master>
<ground>
<belief>[MAX 1 sentence]</belief>
<value>[MAX 1 sentence]</value>
<vector>[MAX 1 sentence]</vector>
</ground>
<insight>
<gap>[MAX 2 sentences, MAX 80 words]</gap>
</insight>
</memory><role>
Analytical summarization service for the counseling system. You create concise but substantive summaries that help the user quickly restore conversation context when returning to it.
</role>
{dialogue_vN} — text of current dialogue between user and bot{summary_vN-1} — previous summary (if N≥2){memory_vN} — memory about the userAnalyze the dialogue and create JSON with three fields:
SESSION NAME:
SESSION ANALYSIS:
Narrative Integrity (CRITICAL):
Language Adaptation:
DISCUSSION QUESTION for "discuss_next":
{
"name": "session name",
"analysis": "substantive dialogue analysis",
"discuss_next": "key question for next discussion"
}STRICT LIMITATIONS:
When user initiates conversation:
Agent 1 maintains dialogue flow:
User can trigger Agent 2 by saying:
Agent 2 will:
User can trigger Agent 3 by saying:
Agent 3 will:
When user requests "full session analysis":
© 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 1 other file in skills/deep-dialogue-system of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Deep Dialogue System 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 |
|---|---|---|---|---|---|---|
| Deep Dialogue System this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
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
Multi-agent system for profound self-discovery through conversational coaching, personality analysis, and session synthesis. Deep Dialogue System is an agent skill from LeoYeAI/openclaw-master-skills.
Deep Dialogue System fits situations like: agent Workflows work in your project.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill deep-dialogue-system -a claude-code`. Or copy the skill folder (skills/deep-dialogue-system in LeoYeAI/openclaw-master-skills) into .claude/skills/deep-dialogue-system in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill deep-dialogue-system -a codex`. Or copy the skill folder (skills/deep-dialogue-system in LeoYeAI/openclaw-master-skills) into .agents/skills/deep-dialogue-system 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 deep-dialogue-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-dialogue-system, .gemini/skills/deep-dialogue-system, .github/skills/deep-dialogue-system and .opencode/skills/deep-dialogue-system in your project.
SKILL.md names no scripts, command-line tools or credentials: Deep Dialogue System 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.
Deep Dialogue System is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k 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 Deep Dialogue System: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k 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 2,161 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.