javimosch 📋 EffortList AI (Universal Skill)
🌟 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.
🚀 Setup & Authentication
- Subscription: Requires a developer subscription ($5/month) at effortlist.io.
- API Key: Human user must generate a Persistent API Key in Developer Settings.
- Storage: Provide the key via the
EFFORTLIST_API_KEYenvironment variable or OpenClaw internal config (openclaw config set skills.entries.effortlist-ai.env.EFFORTLIST_API_KEY "your_key").
📐 Mental Model (Data Hierarchy)
EffortList AI operates on a strictly nested hierarchy: Folder (Container) ──> Task (Project) ──> 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.
🤖 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} |
🛠️ Execution Logic (The "Omni" Way)
- Surgical Extraction & Patching: Always prefer fetching a specific record by its ID (
GET ?id=...) over broad list fetches. When updating, usePATCHwith the record?id=. - Phase-Aware Scheduling: Be mindful of the 5-phase Omni processing loop. Proactively flag events with
isProtectedTime: trueto trigger the server-side safety net. UseignoreConflicts: trueonly when explicit user intent overrides overlap protection. - 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. - Efficiency & Throttling: Respect the 100 requests per minute rate limit. For bulk operations, batch requests appropriately and check
X-RateLimit-Remainingheaders. - Pagination: When listing folders, tasks, or todos, use
limitandoffsetfor large datasets. - Scheduling Alignment: Before blocking large segments of time or creating new recurring todos, use
GET /api/v1/meto align with the user'sweeklySchedule,timezone, andminimumNoticepreferences. - 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.
- Temporal Fidelity: When reporting event times to the user, strictly respect the user's
timezoneand 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/meendpoint to confirm the active offset before finalizing any scheduling summaries. - Global Availability Awareness: Before modifying booking links or schedules, use
GET /api/v1/availabilityto retrieve the currentweeklySchedule,timezone, andminimumNoticesettings. - Undo/Redo Competency: If a destructive operation is performed in error, use the Undo stack (
POST /api/v1/undo) to restore state.
🔒 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.