effortlist-ai

Productivity & Tasks
v1.10.2
Benign

Manage EffortList AI folders, tasks, and todos.

2570 downloads570 installsby @quarantiine

Setup & Installation

Install command

clawhub install quarantiine/effortlist-ai

If the CLI is not installed:

Install command

npx clawhub@latest install quarantiine/effortlist-ai

Or install with OpenClaw CLI:

Install command

openclaw skills install quarantiine/effortlist-ai

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/quarantiine/effortlist-ai

What This Skill Does

Connects an agent to the EffortList AI platform for managing folders, tasks, and todos. Supports full CRUD across a nested hierarchy (Folder > Task > Todo) with cascading deletes and atomic undo/redo. Also handles appointments, booking links, and schedule alignment.

The built-in undo/redo stack and cascading delete protection give agents a safety net that most task management APIs lack.

When to Use It

  • Breaking a project into folders, tasks, and actionable todos
  • Viewing all todos scheduled for today or a specific date range
  • Undoing an accidental delete before data is lost
  • Accepting or declining booked appointments
  • Configuring availability links for external scheduling
View original SKILL.md file
# ๐Ÿ“‹ EffortList AI (Universal Skill)

## ๐ŸŒŸ Value Proposition (For Humans)

EffortList AI is a sophisticated life-management platform that merges advanced Generative AI with a robust, deterministic scheduling engine. Use this skill to give your agent full control over your project organization, time protection, and project lifecycles.

## ๐Ÿš€ Setup & Authentication

1. **Subscription:** Requires a developer subscription ($5/month) at [effortlist.io](https://www.effortlist.io).
2. **API Key:** Human user must generate a **Persistent API Key** in Developer Settings.
3. **Storage:** Provide the key via the `EFFORTLIST_API_KEY` environment variable or OpenClaw internal config (`openclaw config set skills.entries.effortlist-ai.env.EFFORTLIST_API_KEY "your_key"`).

## ๐Ÿ“ Mental Model (Data Hierarchy)

EffortList AI operates on a strictly nested hierarchy:
**Folder (Container)** โ”€โ”€> **Task (Project)** โ”€โ”€> **Todo (Actionable Slot)**

- **Folders:** Optional top-level containers for grouping related projects.
- **Tasks:** Actionable projects that can be top-level or nested in a Folder.
- **Todos:** Granular actionable steps. **Every Todo MUST have a parent Task.**

## ๐Ÿค– Intelligence & Mapping (For Agents)

| User Intent      | Agent Workflow                     | Endpoint Goal                                  |
| :--------------- | :--------------------------------- | :--------------------------------------------- |
| "Plan a project" | Create Folder -> Tasks -> Todos    | `POST /folders`, `POST /tasks`, `POST /todos`  |
| "Fix my mistake" | Fetch History -> Target ID -> Undo | `GET /api/v1/undo`, `POST /api/v1/undo?id=...` |
| "Show my day"    | Fetch Todos by Date Range          | `GET /api/v1/todos?from=...&to=...`            |
| "Check settings" | Fetch User Profile & Schedule      | `GET /api/v1/me`                               |
| "Surgical Edit"  | Patch update a specific record     | `PATCH /api/v1/{type}?id=...`                  |
| "Manage Links"   | Create or update booking links     | `POST/PATCH /api/v1/availability/links`        |
| "Review Appts"   | Accept or decline appointments     | `PATCH /api/v1/appointments/{id}`              |

## ๐Ÿ› ๏ธ Execution Logic (The "Omni" Way)

1. **Surgical Extraction & Patching:** Always prefer fetching a specific record by its ID (`GET ?id=...`) over broad list fetches. When updating, use `PATCH` with the record `?id=`.
2. **Phase-Aware Scheduling:** Be mindful of the 5-phase Omni processing loop. Proactively flag events with `isProtectedTime: true` to trigger the server-side safety net. Use `ignoreConflicts: true` only when explicit user intent overrides overlap protection.
3. **Appointment Awareness:** Be extremely cautious when deleting or rescheduling items where `isBooked: true`. This triggers automatic guest notifications/cancellations. Confirm with the user before performing destructive actions on booked slots.
4. **Efficiency & Throttling:** Respect the **100 requests per minute** rate limit. For bulk operations, batch requests appropriately and check `X-RateLimit-Remaining` headers.
5. **Pagination:** When listing folders, tasks, or todos, use `limit` and `offset` for large datasets.
6. **Scheduling Alignment:** Before blocking large segments of time or creating new recurring todos, use `GET /api/v1/me` to align with the user's `weeklySchedule`, `timezone`, and `minimumNotice` preferences.
7. **Cascading Safety:** Be aware that deleting a Folder or Task is an **Atomic Purge**. However, the engine protects items that are simultaneously being updated from accidental deletion.
8. **Temporal Fidelity:** When reporting event times to the user, strictly respect the user's `timezone` and local time offset (e.g., CDT vs. CST). Provide dates and times exactly as they appear in the local context or as explicitly requested, without performing unsolicited manual shifts. Use the `/me` endpoint to confirm the active offset before finalizing any scheduling summaries.
9. **Global Availability Awareness:** Before modifying booking links or schedules, use `GET /api/v1/availability` to retrieve the current `weeklySchedule`, `timezone`, and `minimumNotice` settings.
10. **Undo/Redo Competency:** If a destructive operation is performed in error, use the Undo stack (`POST /api/v1/undo`) to restore state.

## ๐Ÿ”’ Security & Privacy (Zero Trust)

- **Data Isolation:** Strict row-level security; users only see their own data.
- **AI Privacy:** Your personal data is **never** used to train models.

## ๐Ÿ“– Deep References

- **Full API Reference:** [API DOCs](https://www.effortlist.io/docs)
- **Omni Architecture:** (Located in references/architecture.md)
- **Security Audit Docs:** [SECURITY](https://www.effortlist.io/security)

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Breaking a project into folders, tasks, and actionable todos

AGENT
  1. 1Breaking a project into folders, tasks, and actionable todos
  2. 2Viewing all todos scheduled for today or a specific date range
  3. 3Undoing an accidental delete before data is lost
  4. 4Accepting or declining booked appointments
  5. 5Configuring availability links for external scheduling
OUTPUT
Manage EffortList AI folders, tasks, and todos.

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Last updatedMar 15, 2026