BytesAgain is a curated directory of 60,000+ AI agent skills from ClawHub, GitHub, LobeHub, and Dify. Search skills by keyword in 7 languages, browse by role (developer, creator, trader, marketer) or by use case.

How do I find AI skills on BytesAgain?

Use the search bar on BytesAgain.com to search by keyword in 7 languages. You can also browse by role (developer, creator, trader, marketer) or by use case. Each skill shows install instructions for Claude, Cursor, OpenClaw, Continue, and more.

Yes, BytesAgain is completely free. No registration required for searching skills. The MCP API is also free with rate limits.

Does BytesAgain have an API for AI agents?

Yes! BytesAgain provides a free MCP SSE endpoint at /api/mcp/sse for AI agents, plus a REST API at /api/mcp?action=search&q= . No authentication needed.

Can I request a new AI skill on BytesAgain?

Yes! Visit the Requests page on BytesAgain.com to submit a skill request. Your request will be visible to the community and notified to the site admin.

🦀 ClawHub

Todoist API

by @tristanmanchester

Manages Todoist tasks, projects, sections, labels, comments, completed-task reports, activity logs, ID migration, project templates, and sync workflows throu...

Versionv1.0.0

Downloads622

#clawhub

View on ClawHub →

TERMINAL

clawhub install todoist-api-skill

📖 About This Skill

name: todoist-api description: >- Manages Todoist tasks, projects, sections, labels, comments, completed-task reports, activity logs, ID migration, project templates, and sync workflows through Todoist API v1. Use when the user asks to capture tasks, quick-add work, triage an inbox, resolve Todoist names to IDs, bulk-close or move tasks, add repeated comments, review completed work, manage project structure, export templates, or automate Todoist workflows. license: MIT. See LICENSE.txt compatibility: Requires HTTPS access to api.todoist.com plus Python 3.9+ or curl. Write operations require a Todoist API token or OAuth access token. metadata: author: OpenAI version: "2.0.0" todoist_api: "v1" last_reviewed: "2026-03-05"

Todoist API

When to use this skill

Use this skill when work involves Todoist data or automation, especially:

capture or quick-add new tasks

inspect, filter, move, complete, reopen, or delete tasks

manage projects, sections, labels, or comments

resolve human names to Todoist IDs before writing

perform safer bulk edits with dry-runs

review completed work or recent activity

build Todoist scripts, agents, or integrations around the public API

When not to use this skill

Do not use this skill for:

editing the user’s local Todoist app UI directly

calendar-specific workflows that belong in a calendar skill

attachment upload flows that require multipart handling unless you are prepared to use curl or the raw escape hatch

non-Todoist task systems

Safety defaults

Start read-only if the user’s intent is ambiguous.

Resolve names to IDs before any write.

Prefer close over delete unless the user explicitly wants permanent removal.

Run --dry-run first for bulk or destructive work.

Use --confirm for bulk closes, moves, repeated comments, and deletes.

If a command may return a large payload, set --output FILE so stdout stays small and predictable.

Pick the smallest capable surface

One object, one endpoint → use a low-level REST wrapper such as get-task, update-project, or get-comment.

Natural-language capture → use quick-add-task.

Resolve names safely → use resolve-project, resolve-section, resolve-label.

Create if missing → use ensure-project, ensure-section, ensure-label.

Many matching tasks → use bulk-close-tasks, bulk-move-tasks, bulk-comment-tasks.

Completed-work review → use report-completed or get-completed-tasks.

Full or incremental sync / batched writes → use sync.

Unwrapped or niche endpoint → use raw.

Output contract

The main script prints structured output to stdout by default.

--format json returns a stable JSON envelope with fields like action, ok, count, next_cursor, matched_count, changed_count, and resolved.

--format summary returns a smaller human-readable summary.

--output FILE writes the full output to a file and prints a small JSON notice to stdout.

This is designed for agent pipelines: stdout stays parseable, stderr carries diagnostics, and retries are built in for transient failures.

Scripts

scripts/todoist_api.py — main non-interactive Todoist CLI

scripts/smoke_test.py — read-only connectivity check

Inspect help first:

python3 scripts/todoist_api.py --help
python3 scripts/todoist_api.py get-tasks-by-filter --help
python3 scripts/todoist_api.py bulk-move-tasks --help
python3 scripts/smoke_test.py --help

Quick start

Set a token:

export TODOIST_API_TOKEN="YOUR_TODOIST_TOKEN"

Read-only smoke test:

python3 scripts/smoke_test.py

Sanity-check access:

python3 scripts/todoist_api.py get-projects --limit 5
python3 scripts/todoist_api.py get-labels --limit 10

Resolve names before writes:

python3 scripts/todoist_api.py resolve-project --name "Inbox"
python3 scripts/todoist_api.py resolve-section --project-name "Client Alpha" --name "Next Actions"
python3 scripts/todoist_api.py resolve-label --name "waiting-on"

High-value agent workflows

Quick add

python3 scripts/todoist_api.py quick-add-task \
  --text "Email Chris tomorrow at 09:00 #Work @follow-up p2"

Create-if-missing section

python3 scripts/todoist_api.py ensure-section \
  --project-name "Client Alpha" \
  --name "Next Actions"

Preview a bulk close

python3 scripts/todoist_api.py bulk-close-tasks \
  --filter "overdue & @errands" \
  --dry-run

Execute the same bulk close

python3 scripts/todoist_api.py bulk-close-tasks \
  --filter "overdue & @errands" \
  --confirm

Move matching tasks into a resolved section

python3 scripts/todoist_api.py bulk-move-tasks \
  --filter "#Inbox & !recurring" \
  --target-project-name "Work" \
  --target-section-name "Next Actions" \
  --dry-run

Report completed work

python3 scripts/todoist_api.py report-completed \
  --since "2026-03-01T00:00:00Z" \
  --until "2026-03-31T23:59:59Z" \
  --by completion \
  --output reports/march-completed.json

Recommended operating pattern

1. Resolve or list the target object. 2. Read current state with a low-level getter. 3. Preview the write with --dry-run. 4. Execute with --confirm when needed. 5. Verify by re-reading or by running a report command.

Feature index

Command catalogue and endpoint coverage → references/REFERENCE.md

Task-first recipes → references/RECIPES.md

Todoist-specific caveats → references/GOTCHAS.md

Escape hatches

Use raw when the public CLI surface does not yet wrap a needed endpoint:

python3 scripts/todoist_api.py raw \
  --method GET \
  --path /projects/PROJECT_ID/full

Use sync when you need incremental sync or batched commands:

python3 scripts/todoist_api.py sync \
  --sync-token '*' \
  --resource-types '["all"]'

💡 Examples

Set a token:

export TODOIST_API_TOKEN="YOUR_TODOIST_TOKEN"

Read-only smoke test:

python3 scripts/smoke_test.py

Sanity-check access:

python3 scripts/todoist_api.py get-projects --limit 5
python3 scripts/todoist_api.py get-labels --limit 10

Resolve names before writes:

python3 scripts/todoist_api.py resolve-project --name "Inbox"
python3 scripts/todoist_api.py resolve-section --project-name "Client Alpha" --name "Next Actions"
python3 scripts/todoist_api.py resolve-label --name "waiting-on"