global/trend-research

Trend Research — discover trending topics and viral patterns in a niche.

Category: global
Source: workflows/research/trends.py

Input Schema

Field	Type	Default	Description
`niche`	`string`	`"technology"`
`platform`	`string`	`"YouTube,TikTok,Instagram"`
`regenerate`	`object`	—	When set, this run is a regeneration. Workflows may read `direction` / `keep` / `extra_instructions` to modulate prompts; the engine persists `parent_run_id` and `parent_variant_index` as run lineage columns.
`time_range`	`string`	`"last 7 days"`
`variants`	`integer`	`1`	Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs.

Output Schema

No schema defined.

Task Pipeline

research_trends → generate_content_ideas

Task	Description
`research_trends`	Research current trends in a niche using Gemini with search grounding.
`generate_content_ideas`	Generate content ideas based on discovered trends.

Run-spec example

Save the YAML below as my-run.yaml, edit the values, and run with the CLI or POST it to the API. Required fields are uncommented; optional knobs are documented above the input: block — copy any line under input: and uncomment to set.

workflow: global/trend-research

# Optional fields — copy any line(s) under `input:` and uncomment to set:
#   niche: technology
#
#   platform: "YouTube,TikTok,Instagram"
#
#   time_range: last 7 days
#

input: {}

Run it locally:

fab-workflow --from-file my-run.yaml

Or submit over the wire — the same file is the request body:

curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=global/trend-research' \
  -H 'Authorization: Bearer fab_xxx' \
  -H 'content-type: application/yaml' \
  --data-binary @my-run.yaml

Every workflow also accepts the universal WorkflowInput fields — variants (1–10 fan-out) and regenerate (creative-direction hints with run lineage). See Run-specs (YAML / TOML / JSON) for the full top-level shape (metadata, priority, bundle, parent, etc.).

Warnings

Last user task generate_content_ideas has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.