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.
Curated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal.
$ npx skills add sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills monte-carlo-asset-health --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monte-carlo-asset-health .claude/skills/monte-carlo-asset-health && 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 "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .claude/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-healthType 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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills monte-carlo-asset-health --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monte-carlo-asset-health .agents/skills/monte-carlo-asset-health && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .agents/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills monte-carlo-asset-health --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monte-carlo-asset-health .cursor/skills/monte-carlo-asset-health && 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 "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .cursor/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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/sickn33/agentic-awesome-skills.git --path skills/monte-carlo-asset-health--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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills monte-carlo-asset-health --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monte-carlo-asset-health .gemini/skills/monte-carlo-asset-health && 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 "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .gemini/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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 sickn33/agentic-awesome-skills monte-carlo-asset-healthInstalls 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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monte-carlo-asset-health .github/skills/monte-carlo-asset-health && 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 "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .github/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills monte-carlo-asset-health --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monte-carlo-asset-health .opencode/skills/monte-carlo-asset-health && 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 "monte-carlo-asset-health" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/monte-carlo-asset-health into .opencode/skills/monte-carlo-asset-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monte-carlo-asset-health", 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.
monte-carlo-asset-healthCurated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal.
Monte Carlo Asset Health is an agent skill from sickn33/agentic-awesome-skills. Curated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b84d35a. 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.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom 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.
Monte Carlo Asset Health loads about 2.4k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 788 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 sickn33/agentic-awesome-skills at commit b84d35a, republished under its Apache-2.0 licence (© sickn33). 788 words, ~2,395 tokens.
.claude/skills/monte-carlo-asset-health/SKILL.md (or your agent's skills folder).This skill checks the health of a data asset using Monte Carlo's observability platform. It produces a structured health report covering freshness, alerts, monitoring coverage, importance, and upstream dependency health.
Monte Carlo tool routing (required): Always call Monte Carlo MCP tools through this plugin's bundled server, whose fully-qualified tool names are
mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool>(e.g.mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts). Bare tool names used in this skill (get_alerts,search,get_table, …) refer to that bundled server. If the session also has a separately-configuredmonte-carlo-mcpserver, do not route to it — it may point at a different endpoint or credentials.
You MUST read both reference files using the Read tool before making any MCP tool calls. These files are the source of truth for tool calls, parameters, and response interpretation. This file only defines when to activate and how to format the output.
references/workflows.md (relative to this file) — exact tool calls, phases, and execution orderreferences/parameters.md (relative to this file) — parameter conventions and field detailsDo NOT make any MCP tool calls until you have read both files.
Activate when the user:
explore-tablemonitoring-advisorCRITICAL: Only report data returned by the tools defined in references/workflows.md.
Do NOT call additional tools, do NOT infer or fabricate metrics. Each row below
specifies exactly which tool provides its value.
All sections (Active Alerts, Monitors, Upstream Issues, Recommendations) must always appear with their heading. Never omit a section — if there is no data, show the empty-state text defined below.
Never use emoji shortcodes (like :warning: or :arrow_up:). Use Unicode
emoji characters directly (like ⚠️) or plain text. Shortcodes render as raw text
in the terminal.
Always display URLs as bare URLs, never as markdown links (e.g., [text](https://github.com/monte-carlo-data/mc-agent-toolkit/tree/main/skills/asset-health/url)).
{MC_WEBAPP_URL} appears throughout this template. Every occurrence must be
replaced with the actual value returned by calling get_mc_webapp_url(). Never
hardcode or guess this URL — it varies by environment.
Present results in this structure:
## Health Check: <table_name>
**Tags:** `tag1:value1`, `tag2:value2` (or "None" if no tags)
**Link:** {MC_WEBAPP_URL}/assets/{mcon}
**Warehouse:** snowflake-prod (Snowflake)
**Status: 🟢 Healthy / 🟡 Degraded / 🔴 Unhealthy** | **Importance:** 0.85 (key asset ⭐️)
**Avg Reads/Day:** ~538 | **Avg Writes/Day:** ~12
| Metric | Value | Signal |
|---------------|--------------------------------|--------|
| Last Activity | Apr 6, 2025 | 🟢 Recent |
| Alerts | 2 active | 🔴 Has alerts |
| Monitoring | 3 active monitors | 🟢 Monitored |
| Upstream | 1/3 sources unhealthy | 🔴 Issues |
### Active Alerts
| Date | Type | Priority | Status | Link |
|-------|----------------|----------|------------------|---------------------------------------------------------|
| Apr 8 | Metric anomaly | P3 | Not acknowledged | {MC_WEBAPP_URL}/alerts/{alert_uuid} |
| Apr 7 | Freshness | P2 | Acknowledged | {MC_WEBAPP_URL}/alerts/{alert_uuid} |
If there are more than 5 active alerts, display only 5. Do NOT put the overflow
message inside the table as a row. Instead, put it as plain text on the line
immediately after the table:
There are N more alerts not shown for brevity
If there are zero active alerts, show:
No active alerts in the last 7 days.
### Monitors
| Type | Name | Incidents (7d) | Status |
|-------------|-----------------------------------------|----------------|---------------------|
| TABLE | Orders freshness and schema | 3 | Running hourly |
| METRIC | Revenue row count | 0 | Never executed |
| BULK_METRIC | Warehouse volume check | 21 | ⚠️ 1 table has errors |
If there are zero monitors, show:
No monitors configured for this table.
### Upstream Issues
- raw_orders — FRESHNESS alert: not updated in 8h
- raw_payments — healthy
- dim_customers — healthy
> Want me to check further upstream for **raw_orders**?
If there are no upstream dependencies, show:
No upstream dependencies found.
### Diagnosis
1-2 sentences summarizing what is causing the table to be unhealthy, or
confirming it is healthy. This should naturally lead into the recommendations.
Example (unhealthy):
Upstream table raw_orders has not been updated in 8 hours, which is likely
causing staleness in this table. There are also 2 unacknowledged alerts.
Example (healthy):
Table is healthy — no active alerts, monitored, and all upstream sources
are in good shape.
### Recommendations
- Investigate upstream raw_orders freshness — likely root cause of this table's staleness
- Acknowledge or investigate the 2 active alerts
If there are no recommendations, show:
No recommendations — table looks healthy.
Each metric row MUST use only the specified data source. Do not add, infer, or embellish values beyond what the tool returns.
| Metric | Data source | What to show | Signal |
|---|---|---|---|
| Last Activity | get_table → last_activity | Date of last activity (e.g., "Apr 6, 2025") | 🟢 Recent (within 7 days) / 🟡 Stale (older than 7 days) |
| Alerts | get_alerts → count | "N active" or "No active alerts" | 🔴 Has alerts / 🟢 No alerts |
| Monitoring | get_monitors → count where is_paused is false | "N active monitors" or "0 active monitors (M paused)". Include relevant details from monitor fields (incident counts, error counts, types). | 🟢 Monitored (≥1 active) / 🔴 Unmonitored (0 active) |
| Upstream | get_asset_lineage (upstream) + Phase 3 checks | "N/M sources unhealthy" or "All N sources healthy" | 🔴 Issues (any unhealthy) / 🟢 Healthy (all healthy) |
Importance is shown next to the Status line (not in the metrics table). Source:
get_table → importance_score + is_important. Show "X.XX (key asset ⭐️)" if
key asset or importance > 0.8, otherwise just "X.XX".
Avg Reads/Day and Avg Writes/Day are shown below the Status line. Source:
get_table → table_stats.avg_reads_per_active_day and table_stats.avg_writes_per_active_day.
Do NOT include downstream data. This skill only queries upstream lineage.
get_alerts with statuses ["NOT_ACKNOWLEDGED", "ACKNOWLEDGED", "WORK_IN_PROGRESS"] — see parameters.md)Display tags from the search tool's properties field. Show as inline badges:
key:value. If no tags exist, show "None". Always include the Tags line.
Display the warehouse name and type from the search result. Always include this line.
Only include recommendations derivable from collected data:
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.© sickn33, 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
Just SKILL.md in skills/monte-carlo-asset-health of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Monte Carlo Asset Health 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 |
|---|---|---|---|---|---|---|
| Monte Carlo Asset Health this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | 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.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Curated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal. Monte Carlo Asset Health is an agent skill from sickn33/agentic-awesome-skills. Curated upstream guidance for Monte Carlo Asset Health; use when the workflow matches the user goal.
Monte Carlo Asset Health fits situations like: the workflow matches the user goal.
Run `npx skills add sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a claude-code`. Or copy the skill folder (skills/monte-carlo-asset-health in sickn33/agentic-awesome-skills) into .claude/skills/monte-carlo-asset-health in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a codex`. Or copy the skill folder (skills/monte-carlo-asset-health in sickn33/agentic-awesome-skills) into .agents/skills/monte-carlo-asset-health 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 sickn33/agentic-awesome-skills --skill monte-carlo-asset-health -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monte-carlo-asset-health, .gemini/skills/monte-carlo-asset-health, .github/skills/monte-carlo-asset-health and .opencode/skills/monte-carlo-asset-health in your project.
SKILL.md names no scripts, command-line tools or credentials: Monte Carlo Asset Health is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. 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.
Monte Carlo Asset Health is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.6k 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 Monte Carlo Asset Health: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.