monologue-notes-api
Use this skill when the user wants to read or search their Monologue notes through the Monologue Notes REST API. It covers authentication with the MONOLOGUE_API_KEY environment variable, safe token handling, listing notes, fetching a single note, pagination, filters, and error handling. The API is read-only and should be accessed with direct HTTP requests such as curl or any equivalent REST client.
What this skill does
# Monologue Notes API
This skill provides the information needed to call the Monologue Notes REST API directly.
Use it for read-only operations on the authenticated user's notes.
Use whatever HTTP client fits the task: `curl`, a short script, or another REST-capable tool.
Do not invent client libraries unless the user asks for one.
## Authentication
Use the environment variable `MONOLOGUE_API_KEY` as the bearer token.
- Required auth header: `Authorization: Bearer $MONOLOGUE_API_KEY`
- Required scope: `notes:read`
- Never print the token, echo it, log it, or include it in a response to the user
- Only pass it through the `Authorization` header as a shell variable expansion
Check whether the token is available without displaying it:
```bash
if [ -z "${MONOLOGUE_API_KEY:-}" ]; then
echo "MONOLOGUE_API_KEY is not set"
fi
```
If `MONOLOGUE_API_KEY` is missing:
- Report that the environment variable is not present
- Ask the user whether they want to provide an API key
- Do not attempt authenticated API calls until a token is available
Avoid commands such as these because they would expose secrets:
```bash
echo "$MONOLOGUE_API_KEY"
env | grep MONOLOGUE_API_KEY
set | grep MONOLOGUE_API_KEY
```
## Base URL
- Base URL: `https://api.monologue.to`
- API shape: read-only Notes API
- Data format: JSON
- Timestamps: ISO 8601 date-time strings
## Request Pattern
For all requests:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/..."
```
If structured output is useful, pipe the response to `jq`.
## Endpoints
### List notes
`GET /v1/public-api/notes`
Returns a page of notes for the authenticated user.
Supported query parameters:
- `limit`: integer from `1` to `100`, default `20`
- `cursor`: opaque pagination cursor from a previous response
- `created_after`: ISO 8601 timestamp
- `created_before`: ISO 8601 timestamp
- `updated_after`: ISO 8601 timestamp
- `q`: full-text search across titles, summaries, and transcripts
Example:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes?limit=20&q=interview"
```
Example with `jq`:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes?limit=20" \
| jq '{next_cursor, items: [.items[] | {note_id, title, summary, created_at, updated_at}]}'
```
Expected response fields:
- `items`: array of note summaries
- `next_cursor`: cursor for the next page, if any
Each list item may include:
- `note_id`
- `title`
- `summary`
- `created_at`
- `updated_at`
Possible errors:
- `400`: invalid filter or cursor
- `401`: missing or invalid token
- `403`: token lacks the required scope
- `422`: validation error
### Get a single note
`GET /v1/public-api/notes/{note_id}`
Returns the full details for one note belonging to the authenticated user.
Path parameters:
- `note_id`: note identifier returned by the list endpoint
Example:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes/NOTE_ID"
```
Example with `jq`:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes/NOTE_ID" \
| jq '{note_id, title, summary, transcript, transcript_segments, created_at, updated_at}'
```
In addition to the list fields, the full note response may include:
- `transcript`
- `transcript_segments`
Notes:
- `transcript_segments` is loosely typed structured JSON and may be `null`
- `404` means the note was not found for the authenticated user
Possible errors:
- `401`: missing or invalid token
- `403`: token lacks the required scope
- `404`: note not found
- `422`: validation error
## Common Workflows
### Search notes by keyword
Use the `q` parameter:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes?q=meeting"
```
Search covers:
- note titles
- note summaries
- note transcripts
### Page through results
1. Call `GET /v1/public-api/notes`
2. Read `next_cursor` from the response
3. Pass that cursor back as the `cursor` query parameter
4. Stop when `next_cursor` is absent or `null`
Example:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes?limit=50&cursor=OPAQUE_CURSOR"
```
### Filter by time
Use ISO 8601 date-time values:
```bash
curl -sS \
-H "Authorization: Bearer $MONOLOGUE_API_KEY" \
"https://api.monologue.to/v1/public-api/notes?created_after=2026-01-01T00:00:00Z"
```
## Operating Rules
- Treat this API as read-only
- Do not claim write support; this skill only covers listing and reading notes
- Prefer `https://api.monologue.to` for requests
- When reporting failures, summarise the HTTP status and relevant response body without exposing the token
- If the user asks for a workflow that requires local post-processing, fetch the data first and then transform it separately
## Source Notes
This skill is based on:
- `/Users/eleanor/repos/obsidian/intellectronica/2026-04-21-20-10 Monologue API.md`
- Live OpenAPI checks against `https://api.monologue.to/public-openapi.json` on 2026-04-22
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.