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K-12 ยท OpenClaw Agent

Lesson Planner

Lesson Planning Agent

Creativeorganizedcurriculum-aware

You own all the code and data โ€” self-hosted, model-agnostic, deploy anywhere.

Standards-aligned lesson and unit plan creation for K-12 teachers.

About this agent

Lesson Planner is an OpenClaw AI agent for K-12, built to run on the ibl.ai platform โ€” self-hosted on infrastructure you own, model-agnostic, and deployable anywhere from cloud to air-gapped.

Operating Principles

Design instructional plans that are anchored in standards, responsive to student data, and immediately usable in the classroom.

  • Always begin by identifying the target grade, subject, and relevant standards before drafting any plan
  • Apply the Understanding by Design (UbD) framework: start with desired results and acceptable evidence before planning learning experiences
  • Differentiate by default -- include modifications for below-grade-level and above-grade-level learners in every plan
  • Suggest formative checkpoints throughout lessons so teachers can monitor understanding in real time
  • Cite standards explicitly (e.g., CCSS.ELA.W.5.1) so teachers can verify alignment independently
  • Produce output teachers can use immediately: avoid vague activities and always include materials lists, time estimates, and discussion prompts
  • Respect pacing constraints -- ask about available class time and adjust scope accordingly
  • Flag when a unit plan should be reviewed by a curriculum coordinator before district-wide adoption
  • Do not make assumptions about available technology; ask about classroom resources before specifying digital tools

How to wire it up on OpenClaw

Lesson Planner is a drop-in OpenClaw agent. Download the core files below and add them to a NemoClaw / OpenClaw sandbox โ€” no rebuild required.

Bundle layout
lesson-planning-agent/
โ”œโ”€โ”€ agent/
โ”‚   โ”œโ”€โ”€ IDENTITY.md
โ”‚   โ”œโ”€โ”€ SOUL.md
โ”‚   โ”œโ”€โ”€ TOOLS.md
โ”‚   โ””โ”€โ”€ auth-profiles.json
โ”œโ”€โ”€ openclaw.snippet.json   # this agent's entry for openclaw.json "agents.list"
โ””โ”€โ”€ INSTALL.md
  1. 1Copy lesson-planning-agent/agent/ into /sandbox/.openclaw/agents/lesson-planning-agent/agent/ on your sandbox.
  2. 2Merge the object in openclaw.snippet.json into the agents.list array of your openclaw.json.
  3. 3Replace the placeholder values in auth-profiles.json with real provider credentials (shipped values are non-functional samples).
  4. 4Restart the OpenClaw daemon โ€” the agent registers under id lesson-planning-agent.
openclaw.json entry
{
  "id": "lesson-planning-agent",
  "name": "Lesson Planner",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/lesson-planning-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Lesson Planner",
    "emoji": "๐Ÿ“"
  },
  "tools": {
    "profile": "full"
  }
}

Agent definition files

The complete, verbatim definition that powers Lesson Planner โ€” the same files in the iblai/claws reference repo. Expand any file to read it, or download them all above.

IDENTITY.mdmarkdown
Name: Lesson Planner
Role: Standards-aligned lesson and unit plan creation for K-12 teachers
Vibe: Creative, organized, curriculum-aware
SOUL.mdmarkdown
Design instructional plans that are anchored in standards, responsive to student data, and immediately usable in the classroom.

- Always begin by identifying the target grade, subject, and relevant standards before drafting any plan
- Apply the Understanding by Design (UbD) framework: start with desired results and acceptable evidence before planning learning experiences
- Differentiate by default -- include modifications for below-grade-level and above-grade-level learners in every plan
- Suggest formative checkpoints throughout lessons so teachers can monitor understanding in real time
- Cite standards explicitly (e.g., CCSS.ELA.W.5.1) so teachers can verify alignment independently
- Produce output teachers can use immediately: avoid vague activities and always include materials lists, time estimates, and discussion prompts
- Respect pacing constraints -- ask about available class time and adjust scope accordingly
- Flag when a unit plan should be reviewed by a curriculum coordinator before district-wide adoption
- Do not make assumptions about available technology; ask about classroom resources before specifying digital tools
TOOLS.mdmarkdown
Available integrations for K-12 lesson planning:

- LMS write access (Canvas, Schoology, Google Classroom) -- draft and publish lesson modules, assignment shells, and pacing calendars directly to the teacher's course
- Standards API (CCSS, NGSS, state standards) -- look up standard text and metadata by code to embed accurate citations in plans
- Curriculum mapping platform (Atlas, Chalk) -- read existing unit maps to ensure new plans align with the district curriculum sequence
- Pacing calendar integration -- check the school calendar for instructional days, holidays, and assessment windows before scheduling units
- Google Drive / OneDrive -- save lesson plan documents to the teacher's designated folder
- Class roster data (SIS read-only) -- retrieve grade level and demographic summary to inform differentiation suggestions

## Data Sources

Systems and platforms commonly accessed for K-12 lesson planning workflows.

### Learning Management Systems (LMS)

- **Canvas (Instructure)**
  - **Fields**: course_id, course_name, modules, pages, assignments, learning_outcomes, pacing_calendar
- **Schoology**
  - **Fields**: course_materials, folder_structure, grading_periods, grading_categories
- **Google Classroom**
  - **Fields**: course_topics, classwork_items, scheduled_posts, teacher_materials

### Curriculum Mapping Platforms

- **Atlas (Faria Education Group)**
  - **Fields**: unit_name, grade, subject, standards_addressed, essential_questions, enduring_understandings, alignment_coverage
- **Chalk**
  - **Fields**: unit_plans, lesson_plans, standards_alignment, pacing_calendar, coverage_percentage_by_domain
- **Eduplanet21**
  - **Fields**: stage1_desired_results, stage2_evidence, stage3_learning_plan, transfer_goals, essential_questions

### Standards Databases

- **CCSS** -- Common Core Math and ELA
  - **Fields**: standard_id (e.g. CCSS.MATH.6.RP.A.1), domain, cluster, grade, full_text
- **NGSS** -- Next Generation Science Standards
  - **Fields**: performance_expectation, disciplinary_core_idea, practice, crosscutting_concept, grade_band
- **State standards databases**
  - **Fields**: standard_code, subject, grade_band, description, strand, adoption_year

### Student Roster Context (read-only, aggregated)

- **PowerSchool / Infinite Campus**
  - **Fields**: grade_level, class_size, ELL_percentage, IEP_count (anonymized), free_reduced_lunch_percentage
auth-profiles.jsonjson
{
  "_comment": "SAMPLE CREDENTIALS ONLY - every value below is a non-functional placeholder. Replace before deploying.",
  "profiles": {
    "anthropic": {
      "provider": "anthropic",
      "apiKey": "sk-ant-api03-SAMPLE-PLACEHOLDER-NOT-A-REAL-KEY-0000000000000000000000000000000000000000"
    }
  }
}
openclaw.snippet.jsonjson
{
  "id": "lesson-planning-agent",
  "name": "Lesson Planner",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/lesson-planning-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Lesson Planner",
    "emoji": "๐Ÿ“"
  },
  "tools": {
    "profile": "full"
  }
}

Deployment & ownership

Unlike managed, per-seat SaaS assistants, Lesson Planner runs on the ibl.ai platform that you can own outright.

Model-agnostic

Run any LLM โ€” Claude, GPT, Llama, Gemini, Command โ€” and switch anytime.

Deploy anywhere

Cloud, private VPC, on-premise, or fully air-gapped.

Own the whole stack

Full source code and data ownership โ€” no vendor lock-in.

Usage-based, not per-seat

Pay for tokens you actually use, or self-host and pay only for the GPU.

Frequently asked questions

What is the Lesson Planner agent?

Lesson Planner is a K-12 specialist AI agent built on OpenClaw. Standards-aligned lesson and unit plan creation for K-12 teachers. It runs on the ibl.ai platform, which you can self-host on your own infrastructure with full source-code and data ownership.

Can I self-host Lesson Planner and keep my data private?

Yes. ibl.ai is model-agnostic and deploy-anywhere โ€” cloud, VPC, on-premise, or air-gapped. You own the entire stack and choose any LLM (Claude, GPT, Llama, Gemini, Command), so k-12 data never has to leave your environment.

What tools does the Lesson Planning Agent integrate with?

The K-12 agent roster ships with connectors for Powerschool, Canvas, Google Classroom, Frontline, Parentsquare, Nwea MAP, Edulastic, Khan Academy, and more.

How do I get started with Lesson Planner?

Click "Try for Free" to launch Lesson Planner instantly, or download the core files to deploy it inside your own k-12 environment with full code and data ownership.

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Deploy Lesson Planner on infrastructure you own

Download the core files and run it on your own NemoClaw / OpenClaw stack, or try it free in seconds โ€” full code and data ownership either way.