Overview
The Community Operations Planning Assistant is used to answer "how to make a community come alive," content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing professionals, operations staff, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as topic, draft or reference materials, pasted topic, draft, channel requirements, reference materials, selling point information, or publishing goals, organizes key context, and outputs conversion question priorities, replicable rewrites, experiments, or follow-up action checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that community-marketing has user demand; the platform displays it as a growth_cro_sales business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.
When to Use
Applicable Scenarios
- Users raise questions such as "how to make a community come alive" and need to quickly break down goals, identify priorities, and form actionable results
- Content creators, marketing professionals, operations staff, and content media need to generate conversion question priorities, replicable rewrites, experiments, or follow-up action checklists around the Community Operations Planning Assistant
- Users have already prepared content goals (explaining the desired publishing goals, conversion goals, rewriting direction, or evaluation criteria.), target audience (explaining the audience, roles, purchase stages, or use scenarios the content is aimed at.), reference content links (fill in publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead.), and hope to organize them into actionable analysis or optimization results
- Users need to turn materials related to the Community Operations Planning Assistant into clear conclusions, priorities, and next-step actions
How to Invoke
Directly call the AI Skills API through the exported Python runner:
Command Examples
Basic Call
python3 scripts/run.py --params '{}'
Call with Common Parameters
python3 scripts/run.py --params '{"goal":"内容目标"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | Explain the desired publishing goals, conversion goals, rewriting direction, or evaluation criteria |
audience |
string | No | - | Explain the audience, roles, purchase stages, or use scenarios the content is aimed at |
materialUrl |
string | No | - | Fill in publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead; a full accessible URL is required |
materialFile |
string | No | - | Upload drafts, brand materials, channel requirements, reference materials, or content planning files |
materialText |
string | No | - | Paste topics, drafts, channel requirements, reference materials, selling point information, or publishing goals |
brandRequirements |
string | No | - | Supplement brand tone, channel rules, format requirements, unchangeable facts, compliance restrictions, or pre-publishing review focus |
For the complete machine-readable parameter structure, see references/form-schema.json。
Parameter Value Reference
The current skill has no classification parameters that require additional lookup.
Supported input formats
The current skill directly accepts JSON parameters; if the parameters include a link field, please pass a complete, accessible URL.
Example request
The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"goal":"内容目标"}'
Equivalent --params JSON:
{
"goal": "内容目标"
}
Example return result
{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Conversion issue priorities, copy-ready revisions, experiments or follow-up action checklist: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combine the content goals (explain the intended publishing goals, conversion goals, rewriting direction, or evaluation criteria.), target audience (explain the audience the content is aimed at, roles, buying stages, or usage scenarios.), reference content links (provide publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead.) to extract key context and the basis for judgment.
- Next steps: provide priorities, execution suggestions, or a content framework that can be further processed.
Suggestions for using the results
- First determine whether the output answers the user's core question about the "Community Operations Planning Assistant".
- Then check whether the results cover conversion issue priorities, copy-ready revisions, experiments or follow-up action checklist, and whether clear next steps are provided.
- If the input materials are insufficient, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation before running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault