Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
math-worksheets is best for use workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Stellawuellner
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/stellawuellner/math-worksheets-skill.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Stellawuellner
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
SKILL_DIR="$(dirname "$0")"
result=$(bash "$SKILL_DIR/scripts/check_reasoning_model.sh")
status=$(echo "$result" | awk '{print $1}') # FOUND, FALLBACK, or NONE
model_alias=$(echo "$result" | awk '{print $2}')
model_full=$(echo "$result" | awk '{print $3}')text
sessions_spawn(task="<problem generation prompt>", model=model_alias)
text
sessions_spawn(task="<generation prompt>", model=model_alias)
text
⚠️ No reasoning model or Opus detected. Worksheet generated with [current model]. For best accuracy, especially on multi-step problems, configure one of: • Gemini 2.5 Pro DeepThink — google.generativeai.com (free tier available) • o1 / o3 — platform.openai.com • DeepSeek R1 — platform.deepseek.com (very affordable) • Claude Opus — console.anthropic.com SymPy verification will catch most errors regardless.
bash
brew install tectonic # macOS/Linux — downloads packages on demand
latex
\usepackage[margin=1in, top=0.75in, bottom=0.75in]{geometry}
\usepackage{amsmath, amssymb}
\usepackage{tikz, pgfplots}
\usepackage{enumitem, fancyhdr, multicol, array, booktabs}
\pgfplotsset{compat=1.18}Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract
Generate a student worksheet PDF + full step-by-step answer key PDF for any K-12 math topic. Compiles LaTeX with tectonic (no TeX installation required — it auto-downloads packages).
This skill auto-detects the best available reasoning model and uses it for problem generation. Reasoning models (o1, o3, DeepSeek R1, Gemini DeepThink) work through math step-by-step and make significantly fewer errors than standard models.
Model rankings are kept fresh via a three-layer fallback:
references/model-rankings.json) — updated with each skill release on ClawhHubTo update rankings without waiting for a skill release: edit the hosted JSON at the GitHub URL in references/model-rankings.md. The skill picks it up within 7 days.
Step 0 — run model detection before anything else:
SKILL_DIR="$(dirname "$0")"
result=$(bash "$SKILL_DIR/scripts/check_reasoning_model.sh")
status=$(echo "$result" | awk '{print $1}') # FOUND, FALLBACK, or NONE
model_alias=$(echo "$result" | awk '{print $2}')
model_full=$(echo "$result" | awk '{print $3}')
Then branch on the status:
FOUND_REASONING (o3, o1, DeepThink, DeepSeek R1) — best case, use for problem generation:
sessions_spawn(task="<problem generation prompt>", model=model_alias)
No warning needed. Sub-agent writes the .tex files + verify script, announces completion.
FOUND_STRONG (Claude Opus) — excellent quality, use it without alarming the user:
sessions_spawn(task="<generation prompt>", model=model_alias)
Optionally add a quiet note: "Using Opus — solid math accuracy and excellent LaTeX. For the hardest Algebra 2 problems, a reasoning model (DeepThink/o1) would be marginally better."
NONE — standard model only; proceed but surface a clear recommendation:
⚠️ No reasoning model or Opus detected. Worksheet generated with [current model].
For best accuracy, especially on multi-step problems, configure one of:
• Gemini 2.5 Pro DeepThink — google.generativeai.com (free tier available)
• o1 / o3 — platform.openai.com
• DeepSeek R1 — platform.deepseek.com (very affordable)
• Claude Opus — console.anthropic.com
SymPy verification will catch most errors regardless.
| Status | Model examples | Action |
|---|---|---|
| FOUND_REASONING | DeepThink, o1, o3, R1 | Spawn silently, no warning |
| FOUND_STRONG | Claude Opus 4.x | Spawn silently, optional quiet note |
| NONE | Sonnet, Flash, GPT-4o | Use current model + show recommendation |
brew install tectonic # macOS/Linux — downloads packages on demand
Output directory (create if needed): ~/Documents/Worksheets/
Ask (or infer from context):
Photo input shortcut: If the user sends a photo of homework or a textbook page, use the image tool to extract problem types, format, and difficulty — then mirror that style exactly.
Design problems appropriate to the student's level. Increase difficulty gradually across the set. Every problem must be mathematically correct — verify your own solutions.
See references/problem-library.md for topic-specific problem type menus.
Write three .tex files to /tmp/:
ws_TOPIC_DATE.tex — student worksheet (blank work areas)ak_TOPIC_DATE.tex — answer key (full step-by-step solutions)ss_TOPIC_DATE.tex — skills summary / study guide (cheat sheet)The skills summary is a 1–2 page reference card the student can use while working through the worksheet or when studying. It contains:
See references/latex-templates.md → "Skills Summary / Study Guide Template" for the full shell and box macros.
See references/latex-templates.md for document templates, coordinate planes, tables, geometric figures, and answer key patterns.
Required packages (include in every document):
\usepackage[margin=1in, top=0.75in, bottom=0.75in]{geometry}
\usepackage{amsmath, amssymb}
\usepackage{tikz, pgfplots}
\usepackage{enumitem, fancyhdr, multicol, array, booktabs}
\pgfplotsset{compat=1.18}
Work space defaults: \vspace{5cm} per problem; 8cm for multi-step; 10cm+ for graphs.
Before compiling, write /tmp/verify_TOPIC_DATE.json — a structured data file describing each problem and its expected answer. The bundled scripts/verify.py evaluates this using SymPy. No generated code is ever executed.
bash "$SKILL_DIR/scripts/run_verify.sh" /tmp/verify_TOPIC_DATE.json
JSON format:
{
"topic": "graphing polynomials",
"problems": [
{"id": 1, "type": "solve", "expr": "x**2 - 5*x + 6", "expected": [2, 3]},
{"id": 2, "type": "factor", "expr": "x**2 - 7*x + 12", "expected": "(x-3)*(x-4)"},
{"id": 3, "type": "eval", "expr": "(x-1)*(x+2)", "at": {"x": 0}, "expected": -2},
{"id": 4, "type": "zeros", "expr": "x*(x-3)**2", "expected": [0, 3]},
{"id": 5, "type": "expand", "expr": "(x+2)**2", "expected": "x**2 + 4*x + 4"},
{"id": 6, "type": "manual", "desc": "Graph sketch — verify visually"}
]
}
Type reference:
| Type | Verifiable? | What it checks |
|---|---|---|
| solve | ✅ | Roots of expr=0 match expected list |
| factor | ✅ | Factored form matches expected |
| expand | ✅ | Expanded form matches expected |
| eval | ✅ | expr evaluated at given values matches expected |
| zeros | ✅ | Zeros of expr match expected list |
| manual | 👁 | Flagged for human review — never fails automatically |
Use manual for: graph sketches, sign charts, word problem setups, proofs.
If verification fails (exit 1): fix the LaTeX answer key and re-run. Do not compile until the answer key is correct.
SKILL_DIR="$(dirname "$0")"
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ws_TOPIC_DATE.tex ~/Documents/Worksheets/
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ak_TOPIC_DATE.tex ~/Documents/Worksheets/
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ss_TOPIC_DATE.tex ~/Documents/Worksheets/
Send all three PDFs via the same channel the request came from:
message tool with filePath (copy to ~/.openclaw/media/outbound/ first)imsg skillgog skill (send all three as attachments)Suggested send order: skills summary first (study guide), then worksheet, then answer key.
Printing: Do NOT print unless explicitly asked. If asked, print worksheet + skills summary (not answer key, unless requested). Use lpr -P <printer_name>.
Before compiling, verify each problem:
ws_algebra2_factoring_2026-02-22.pdf ← worksheet
ak_algebra2_factoring_2026-02-22.pdf ← answer key
ss_algebra2_factoring_2026-02-22.pdf ← skills summary / study guide
Prefix with student name when known: leo_ws_..., leo_ak_..., leo_ss_...
| Problem | Fix |
|---|---|
| tectonic not found | brew install tectonic |
| Slow first compile | Downloading packages from CTAN — wait 30–60s, faster after |
| LaTeX error on line N | Check paired $...$, matching \begin{}/\end{} |
| pgfplots not rendering | Ensure \pgfplotsset{compat=1.18} is in preamble |
| PDF not created | Read full tectonic output for the specific error |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T02:28:33.986Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "use",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:use|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Stellawuellner",
"href": "https://github.com/stellawuellner/math-worksheets-skill",
"sourceUrl": "https://github.com/stellawuellner/math-worksheets-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to math-worksheets and adjacent AI workflows.