fireflies-upgrade-migration
Handle Fireflies.ai API deprecations and migrate to current query patterns. Use when updating deprecated fields, migrating query patterns, or responding to Fireflies API changelog updates. Trigger with phrases like "upgrade fireflies", "fireflies deprecated", "fireflies migration", "fireflies breaking changes", "fireflies changelog".
What this skill does
# Fireflies.ai Upgrade & Migration
## Current State
!`npm list graphql graphql-request 2>/dev/null || echo 'No graphql packages'`
## Overview
Fireflies.ai uses a GraphQL API (no versioned SDK). Breaking changes come as field deprecations and new query parameter patterns. This skill covers all known deprecations and migration paths.
## Known Deprecations
### Transcript Query Parameter Changes
```typescript
// DEPRECATED: Single organizer email string
const OLD = `{ transcripts(organizer_email: "[email protected]") { id } }`;
// CURRENT: Array of organizer emails
const NEW = `{ transcripts(organizers: ["[email protected]"]) { id } }`;
```
```typescript
// DEPRECATED: Single participant email string
const OLD = `{ transcripts(participant_email: "[email protected]") { id } }`;
// CURRENT: Array of participant emails
const NEW = `{ transcripts(participants: ["[email protected]"]) { id } }`;
```
```typescript
// DEPRECATED: title parameter for search
const OLD = `{ transcripts(title: "standup") { id } }`;
// CURRENT: keyword with scope
const NEW = `{ transcripts(keyword: "standup") { id } }`;
```
```typescript
// DEPRECATED: date parameter (single date)
const OLD = `{ transcripts(date: "2026-03-01") { id } }`;
// CURRENT: fromDate/toDate range
const NEW = `{
transcripts(
fromDate: "2026-03-01T00:00:00Z"
toDate: "2026-03-31T23:59:59Z"
) { id }
}`;
```
### Field-Level Deprecations
```typescript
// DEPRECATED
transcript.host_email
// CURRENT
transcript.organizer_email
```
## Migration Procedure
### Step 1: Scan Codebase for Deprecated Patterns
```bash
set -euo pipefail
echo "=== Scanning for deprecated Fireflies patterns ==="
# Deprecated query parameters
grep -rn 'organizer_email:' --include='*.ts' --include='*.js' --include='*.py' . || echo "No organizer_email (good)"
grep -rn 'participant_email:' --include='*.ts' --include='*.js' --include='*.py' . || echo "No participant_email (good)"
grep -rn 'host_email' --include='*.ts' --include='*.js' --include='*.py' . || echo "No host_email (good)"
grep -rn 'transcripts(.*title:' --include='*.ts' --include='*.js' --include='*.py' . || echo "No title param (good)"
grep -rn 'transcripts(.*date:' --include='*.ts' --include='*.js' --include='*.py' . || echo "No date param (good)"
```
### Step 2: Update Query Patterns
Create a migration helper:
```typescript
// migrations/fireflies-deprecations.ts
/**
* Maps old query parameter names to new ones.
* Update your GraphQL queries to use the new parameter names.
*/
const PARAM_MIGRATIONS: Record<string, string> = {
"organizer_email": "organizers (now an array)",
"participant_email": "participants (now an array)",
"title": "keyword",
"date": "fromDate + toDate",
"host_email": "organizer_email",
};
export function checkForDeprecations(query: string): string[] {
const warnings: string[] = [];
for (const [old, replacement] of Object.entries(PARAM_MIGRATIONS)) {
if (query.includes(old)) {
warnings.push(`Deprecated: "${old}" → use "${replacement}"`);
}
}
return warnings;
}
```
### Step 3: Introspect Schema for Changes
```bash
set -euo pipefail
# Discover all available query fields
curl -s -X POST https://api.fireflies.ai/graphql \
-H "Authorization: Bearer $FIREFLIES_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "{ __schema { queryType { fields { name args { name type { name kind } } } } } }"
}' | jq '.data.__schema.queryType.fields[] | {name, args: [.args[] | .name]}'
# Discover transcript fields
curl -s -X POST https://api.fireflies.ai/graphql \
-H "Authorization: Bearer $FIREFLIES_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "{ __type(name: \"Transcript\") { fields { name type { name kind } } } }"
}' | jq '.data.__type.fields[] | .name'
```
### Step 4: Test Updated Queries
```typescript
import { describe, it, expect } from "vitest";
import { checkForDeprecations } from "../migrations/fireflies-deprecations";
describe("Deprecation Check", () => {
it("should flag deprecated parameters", () => {
const warnings = checkForDeprecations(
'{ transcripts(organizer_email: "test") { id } }'
);
expect(warnings.length).toBeGreaterThan(0);
expect(warnings[0]).toContain("organizers");
});
it("should pass clean queries", () => {
const warnings = checkForDeprecations(
'{ transcripts(organizers: ["test"]) { id } }'
);
expect(warnings.length).toBe(0);
});
});
```
### Step 5: Monitor Fireflies Changelog
```bash
# Check for API updates
set -euo pipefail
curl -s https://docs.fireflies.ai/additional-info/change-log | head -100
# Or visit: https://docs.fireflies.ai/getting-started/whats-new
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Field not found | Using removed field | Introspect schema, update query |
| Unexpected null | Field renamed | Check deprecation list above |
| Query validation error | Old parameter name | Update to array-based params |
| Type mismatch | String vs array param | Wrap single value in array |
## Output
- Codebase scanned for deprecated patterns
- All queries updated to current API patterns
- Schema introspection results for reference
- Tests verifying updated queries work
## Resources
- [Fireflies Changelog](https://docs.fireflies.ai/additional-info/change-log)
- [Fireflies What's New](https://docs.fireflies.ai/getting-started/whats-new)
- [Fireflies Introspection](https://docs.fireflies.ai/fundamentals/introspection)
## Next Steps
For CI integration during upgrades, see `fireflies-ci-integration`.
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.