Crawler Summary

manim-idea-to-export answer-first brief

Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- name: manim-idea-to-export description: Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- Manim Idea to Export Overview Use this skill to turn user text ideas into production-ready ManimCE outpu Capability contract not published. No trust telemetry is available yet. 16 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

manim-idea-to-export is best for be 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

Claim this agent
Agent DossierGitHubSafety: 100/100

manim-idea-to-export

Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- name: manim-idea-to-export description: Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- Manim Idea to Export Overview Use this skill to turn user text ideas into production-ready ManimCE outpu

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals16 GitHub stars

Capability contract not published. No trust telemetry is available yet. 16 GitHub stars reported by the source. Last updated 4/15/2026.

16 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Skheiller

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 16 GitHub stars reported by the source. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/Skheiller/manim-community-deep-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Skheiller

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

16 GitHub stars

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- name: manim-idea-to-export description: Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases. --- Manim Idea to Export Overview Use this skill to turn user text ideas into production-ready ManimCE outpu

Full README

name: manim-idea-to-export description: Convert plain-language concepts into ManimCE scene plans, runnable code, preview renders, and final export commands. Use when a user provides narration, bullet points, or storyboard notes and wants end-to-end ManimCE output. Do not use for ManimGL/manimlib codebases.

Manim Idea to Export

Overview

Use this skill to turn user text ideas into production-ready ManimCE output through a strict pipeline:

  1. parse idea text,
  2. map to scene plan,
  3. generate Manim code,
  4. render and fix,
  5. export final media.

Prefer this skill for requests like “animate this explanation”, “turn this paragraph into a video”, or “convert these bullet points into Manim and export”.

Idea-to-Export Workflow

  1. Intake and normalize intent.
  • Extract objective, audience, visual style, duration target, and output format.
  • Resolve ambiguity by making minimal explicit assumptions in code comments or summary.
  • If user requests “beautiful”, “clean”, “cinematic”, or “3B1B-like”, apply the visual clarity and pacing playbook.
  • Unless user asks for minimal motion, apply the animation philosophy directives by default.
  1. Preflight mini-blueprint + preference handshake (required on first pass).
  • Return a short mini blueprint (about 4-7 bullets, high-level only).
  • Ask focused preference questions before detailed planning:
  • visual theme (dark/light/custom),
  • motion intensity (calm/medium/high),
  • camera behavior (no zoom / selective zoom-pan / cinematic),
  • 2D vs 3D usage,
  • pacing preference (slow/readable vs faster/condensed),
  • style target (3B1B-like vs clean-minimal vs other),
  • desired duration range.
  • If user does not answer, choose conservative defaults and state them.
  • Do not start full code generation until the user confirms or explicitly says “proceed”.
  1. Build detailed scene blueprint from confirmed preferences.
  • Convert narrative into ordered beats.
  • For each beat define: on-screen objects, transition, duration, and emphasis.
  • Split into one or more Scene classes if conceptually distinct.
  • For process diagrams, define directed dependencies and a topological animation order before writing code.
  • Include a reflow plan per beat: what moves/shrinks/fades to create space for incoming objects.
  • Include camera intent per beat (hold, pan, zoom in, zoom out) when layout is dense.
  1. Generate runnable ManimCE code.
  • Use from manim import *.
  • Keep construct() orchestration-focused.
  • Use helper builders for repeated objects/layouts.
  • Add layout guard helpers for text-fit, label-fit, and collision-safe spacing.
  • Prefer transformations over object spawning when provenance can be shown.
  • Use ValueTracker/always_redraw for interdependent visuals instead of disconnected static states.
  1. Render in a fast feedback loop.
  • Layout check: -ql -s
  • Timing check: -ql -n a,b
  • Preview export (required): -ql -p (480p preview pass)
  • Final export: -qh (or higher as needed) only after user confirmation on preview
  • Add an overlap pass: verify no text overflows containers and no labels collide with arrows/axes.
  • Add a movement pass: verify the scene is not visually static and includes purposeful transitions between beats.
  • Add a frame-fit pass: verify all active content stays within visible frame margins.
  1. Export and report deliverables.
  • Return exact render command used.
  • Return output path(s) and file format.
  • Note assumptions and next tweak knobs (timing/style/text density).
  • Always show preview artifact first and ask for confirmation before high-quality export.

Implementation Contract

For every idea-to-code request, produce:

  • Mini blueprint + preference questions (first pass) or a note that preferences were previously confirmed.
  • Scene class code implementing the described idea.
  • A suggested file location (for example scenes/idea_scene.py).
  • A concrete render command.
  • The expected output location/filename.
  • A short “edit knobs” list (what to change for speed/style/detail).
  • A short pacing rationale (why key beats are fast/slow).
  • A short layout-fit note (how text/labels were constrained to avoid overflow/clutter).
  • A short logic-order note for process flows (for example: L1->L2 then L2->L3).
  • A short motion rationale (where transformations, tracker-driven motion, and camera moves were used).

Code Quality Rules

  • Use semantic names (claim_text, curve_group, highlight_box).
  • Favor composable primitives (VGroup, Axes, MathTex, Text, Transform).
  • Keep updaters minimal and scoped.
  • Avoid hidden global mutation.
  • Ensure every visual beat is intentional and readable.
  • Make pacing explicit for key beats (run_time, rate_func, and pauses), not implicit defaults.
  • Default to a clean dark scene (config.background_color = "#000000" unless the user requests otherwise).
  • Never leave raw overflow: scale/wrap/reflow text to container width before rendering.
  • Keep scene content centered and frame-safe (no critical content outside visible bounds).
  • Keep arrow labels outside arrowheads and with consistent buffer, then resolve collisions.
  • Avoid low-motion output: each explanatory beat should include meaningful motion unless intentionally a pause beat.
  • Before introducing new objects, create spatial room by moving/reframing existing content.
  • Use semantic color mapping consistently across equations and matching visual objects.
  • Keep text on screen long enough to read using a words-per-minute pacing rule.
  • Treat confirmed user preferences as locked constraints unless user asks to change them.

Environment Assumptions

  • Target runtime is Manim Community Edition (manim), not manimgl.
  • Assume a project-local virtual environment is active before render commands are run.
  • For Tex/MathTex, assume latex and dvisvgm are required.
  • Assume ffmpeg is required for video export.

Execution Boundaries

  • Keep command guidance scoped to the current workspace/project path.
  • Do not suggest destructive commands (for example force-delete, history rewrite, or reset-hard flows).
  • Do not suggest global dependency mutation unless the user explicitly asks for global installation.
  • If required tooling is missing, stop and return concrete remediation commands before proceeding.

Safety and Validation

  • Keep commands non-destructive and scoped to the current project.
  • Prefer deterministic commands and explicit paths in export guidance.
  • Validate syntax/runtime with at least one render pass before final handoff.
  • When TeX is used, verify latex and dvisvgm availability or report a concrete remediation command.

Export Rules

  • Default output: mp4 unless user asks otherwise.
  • Use transparent renders only when explicitly required (-t).
  • If user asks for preview artifacts, include still frame via -s.
  • For multiple sections, use next_section() and --save_sections where useful.
  • Always render a preview pass first with -ql (480p-equivalent workflow) and share it.
  • Do not run -qm/-qh final export until the user confirms the preview.

Failure Handling

  1. If Tex/MathTex fails, fix LaTeX toolchain first (latex, dvisvgm).
  2. If rendering is slow, reduce quality and isolate animation ranges.
  3. If visuals are cluttered, reduce simultaneous motion and split into more beats.
  4. If text or labels collide/overflow, rerun with stricter fit constraints and spacing buffers.
  5. If process logic appears out of order, enforce staged dependency animation (no downstream motion before upstream state exists).
  6. If output feels static, add tracker-driven motion, transformation continuity, and camera emphasis beats.
  7. If content is off-screen or not centered, reflow groups and camera framing before any final export.
  8. If style or preference fit is unclear, pause after mini blueprint and ask targeted preference questions.

References

Load only what is needed.

  • references/idea-to-scene-blueprint.md
  • references/code-generation-patterns.md
  • references/render-and-export-playbook.md
  • references/quality-checklist.md
  • references/visual-clarity-and-aesthetics.md
  • references/logic-and-layout-guardrails.md
  • references/animation-philosophy-directives.md
  • references/preflight-brief-and-preferences.md
  • references/troubleshooting.md

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

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

OPENCLAW
GITHUB_REPOScherry-studio

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

MCPOPENCLAW
GITHUB_REPOSAionUi

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

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

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/skheiller-manim-community-deep-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-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": "2026-04-17T03:33:37.143Z"
    }
  },
  "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": "be",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:be|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": "Skheiller",
    "href": "https://github.com/Skheiller/manim-community-deep-skill",
    "sourceUrl": "https://github.com/Skheiller/manim-community-deep-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:56.904Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:56.904Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "16 GitHub stars",
    "href": "https://github.com/Skheiller/manim-community-deep-skill",
    "sourceUrl": "https://github.com/Skheiller/manim-community-deep-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:13:56.904Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/skheiller-manim-community-deep-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
  }
]

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