Finds Instagram UGC creators for brand campaigns using apidojo's Instagram scraper on Apify. Triggers when the user asks to: find Instagram UGC creators for product campaigns, discover micro-influencers posting organic product reviews on Instagram, identify creators for paid partnership posts or product seeding on Instagram, find authentic lifestyle creators in beauty food fitness or home decor, build an Instagram UGC creator list for a DTC brand, or find creators posting about a product category with strong engagement. Returns creator handle, follower count, avg likes, engagement rate, niche hashtags, and bio link. Ideal for DTC brands, e-commerce companies, and influencer campaign managers.
数据分析
Nox Influencer - Creator Discovery & Influencer Marketing
试用通过单一 CLI 技能发现、评估并运营 YouTube、TikTok、Instagram 上的创作者营销工作流。
它能做什么
在 YouTube、TikTok、Instagram 上检索创作者,读取其受众、内容与商务数据,并执行监控、CRM、Campaign、邮件、消息、Affiliate、短链与导出等运营操作。用户用自然语言提出目标,技能在后台静默调用 NoxInfluencer CLI,并以自然语言返回候选名单、契合度判断以及已批准的导出或触达动作。登录使用 Device Flow,费用与配额由 CLI 自身汇报。所有邮件、消息、CRM 写入动作均需用户明确确认后才执行。
什么时候用它
- 按品类、地区或体量在 YouTube / TikTok / Instagram 上检索创作者并形成候选名单
- 评估某个创作者的受众、内容与商务契合度,作为是否进入触达环节的依据
- 将已知视频加入监控项目,拉取项目级与时间序列表现汇总
- 在 NoxInfluencer 内运行 Campaign、CRM、邮件任务、Affiliate 等营销运营流程
技能文档
NoxInfluencer
Full-workflow creator and marketing-ops skill for discovery, due diligence, platform email outreach, external contacts, known-video and future-content monitoring, spreadsheet/file workflows, operations, brand monitoring, and exports across YouTube, TikTok, and Instagram.
The user interacts through natural language. Execute CLI commands yourself and report results in plain language. Never expose raw commands to the user.
When to Use
- User wants to find, evaluate, or contact creators / influencers / KOLs
- User wants NoxInfluencer campaign, collection, CRM, email/message, product-center, short-link, affiliate, export, or brand-monitor operations
- User needs to set up NoxInfluencer access or check quota
- User wants to monitor video campaign performance
- User hits an auth, quota, or CLI error
What This Skill Does Not Do
- Draft outreach emails, negotiation copy, or partnership messages from scratch
- Send email/message tasks or update CRM records without explicit user approval
- Make final campaign budget allocation, media-plan, or partnership decisions
- Generate creative briefs or interpret video content beyond available platform metrics
- Operate external CRM, email, messaging, spreadsheet, or ad platforms outside NoxInfluencer
- Replace legal or commercial review of contracts, disputes, or brand-safety decisions
Core Principles
Agent-First
The user does not operate the CLI. You do. Run commands silently, tell the user the result. Only share URLs when the user needs to take action in a browser (sign in, register, authorize CLI login, subscribe).
CLI Self-Description
The CLI is self-describing — use it instead of memorizing parameters:
- Parameters:
noxinfluencer schema(e.g.,schema creator.search; quoted path formschema 'creator search'also works) - Help:
noxinfluencer --help - Diagnostics:
noxinfluencer doctor - Cost planning:
noxinfluencer pricing tools --charged-onlyshows current server-side Skill Credit prices;noxinfluencer quota usage --days 7reviews recent consumption - Login: direct terminals can run
noxinfluencer login; Agents/remote terminals uselogin start --jsonandlogin wait(the CLI returns the user-safe authorization URL and code) - Command-tree check:
noxinfluencer schema --allmust includecreator,monitor,campaign,collection,email,message,crm,product,short-link,affiliation,brand-monitor,dispute,export,file,feedback,quota,pricing, andagent - Exit codes:
noxinfluencer agent exit-codes - Preview:
--dry-run(shows request without executing) - Language routing:
--lang zhswitches all URLs tocn.noxinfluencer.com
Routing Cheat Sheet
Use noxinfluencer schema for exact parameters. Prefer broad command families over memorizing flags:
- Creator sourcing:
creator search,creator search-filter*,creator not-interested ...,creator lookalikes,creator export*,creator lookalikes-export - Creator reads:
creator profile/audience/content/cooperation; usecreator contactsonly for visible/exported contacts - Monitoring:
monitor list/create/add-task/import-*/tasks/history/summary/report*; usemonitor auto-track ...for newly published creator content - Operations:
campaign,collection,crm,email,message,product,short-link,affiliation,export,file - Brand monitoring:
brand-monitor ... - Creator dispute due diligence:
dispute records/search/mine/get/report/update/withdraw - Setup, quota, and pricing:
login,doctor,quota,quota usage,pricing,pricing tools,agent exit-codes - Feedback:
feedback submit/inbox/get
If the user does not have a creator_id, the first creator read may use --url or --platform --channel-id; afterwards preserve and reuse returned creator_id. For marketing-ops commands, expect JSON bodies and dry-run defaults; use schema and --force only after explicit approval.
User Feedback
If the user wants to report a bug, confusing behavior, data issue, suggestion, or feature request, offer to submit feedback through noxinfluencer feedback submit. Ask for a short confirmation before sending. Attach screenshots or logs with --file when available. Feedback is free, does not consume Skill quota, and may receive asynchronous follow-up; check noxinfluencer feedback inbox or noxinfluencer feedback get later.
Creator Disputes
Use feedback for product, data, or CLI issues. Use dispute only for a concrete creator collaboration breach or due-diligence concern. Before a new report, run dispute records when available, require concrete screenshot evidence, and get explicit approval before report/update/withdraw. Private reports hide their description and evidence publicly, but not their type/count. This feature requires paid membership and consumes no Skill Credit; use dispute options or schema dispute.report for the current fields.
1. Getting Started
Run noxinfluencer doctor, then fix only what is missing:
- No CLI or stale command tree → ask the user to install
@noxinfluencer/cli@latest; verify withschema --all. - No API key → use Device Flow. For an Agent or remote terminal, run
noxinfluencer login start --json, give the userverification_uri_completeanduser_code, then runnoxinfluencer login waitafter authorization. On a direct terminal,noxinfluencer logindoes this in one command.login --browseris only for a local loopback callback. Manual API-key handoff is fallback only; useauth --key-stdin, never argv/logs or exposedevice_code. - Configured → run
quotaand report blocking quota or entitlement issues.
Quota and Billing
Run quota yourself and report the snapshot. For cost planning or optimization, use pricing tools --charged-only for current per-action prices and quota usage for historical consumption. API-backed calls may consume Skill quota and may also depend on SaaS-side capability quota or entitlement. If the response includes action.url, pass it to the user.
2. Discovering Creators
Turn an open-ended search into a usable shortlist.
Ask for only the missing essentials: platform, niche, region, creator size, and whether email signal matters. Search directly once the request is specific enough. Multi-platform sourcing requires separate platform searches.
Use schema creator.search for flags. Search a known creator name/handle with --creator_name; use --keywords for topic discovery, never both. Put user-specified unwanted topics in exclude_keywords, and apply the SaaS cooperation, CRM communication, contacted-scope, and collection filters in the same search. Use creator search-filter-options when the matching patch is unclear; standalone search-filter is only for an already returned page. Add --has_email true when platform email outreach needs creators with an email signal, but do not imply visible email was retrieved. For pagination, reuse the prior filters and data.search_after; prefer a JSON body.
Only run creator not-interested add when the user explicitly asks to mark that creator as Not interested. Treat it as an approved, reversible mutation; a weak match or noisy result alone is not approval.
Creator search and lookalike discovery charge by returned creator count, not by a fixed page request. Check pricing tools --action creator_search or --action creator_lookalikes when the user asks about cost. Default to smaller, purposeful pages for exploration; use larger pages only when the user asks for a broad shortlist or bulk follow-up.
Lookalike Discovery
Use creator lookalikes when the user asks for creators similar to a source creator or URL. Treat results as recommendations, use the returned opaque creator_id values directly, and save them separately only after the user chooses targets.
Selected Result Exports
Use creator export or creator lookalikes-export only after the user selects 1-100 returned data.items[].id values. Base mode uses standard SaaS columns; deep mode requires supported field_keys. Preserve lookalike data.export_context unchanged. Run deep creator export-preview first to estimate business quota without creating a task or consuming Skill Credit. Contact fields can consume contact quota. Poll approved export tasks through shared export commands.
Shortlist Presentation
Present 3–5 comparable candidates first: name, platform, size, performance, geography, tags, and why they match. If results are noisy, ask for one narrowing filter. Preserve creator_id for follow-up actions.
3. Analyzing Creators
Help the user decide whether a creator is worth pursuing. Lead with a verdict, not a wall of numbers.
Prefer creator_id from prior results. Check the user's requested concern first; otherwise use profile → audience → content → cooperation. Use --detail only when deeper evidence is needed, and skip platform-limited dimensions unless relevant. Return verdict first, then evidence.
Verdict Framework
Use one of four conclusions: high-priority, viable with risks, needs manual review, or not a priority. Always surface dispute/negative cooperation signals. See {baseDir}/references/verdict-heuristics.md for detailed heuristics.
4. Retrieving Contacts
Retrieve visible contact info only when the user explicitly wants exported contact details, external outreach, or to use email outside NoxInfluencer.
Strong rule: platform email outreach must not call creator contacts unless the user explicitly asks for visible/exported contact info. Use search/profile creator_id values in email recipients add/replace. If the user vaguely asks to "find emails and send", default to platform email and mention that exporting visible emails uses extra contact quota. Email sending may still consume the email service's own quota.
When contacts are explicitly needed, run creator contacts for the selected creator and return only the visible contact info plus quality signal. If email is missing or low-confidence, say so plainly. Do not add outreach recommendations or restate creator metrics.
5. Tracking Performance
Manage video monitoring projects and tracked content. Operational only — manages monitoring, not performance judgment.
List projects first when unclear. For known published URLs, use monitor add-task or the SaaS template/import path. Use summary for project-level performance, tasks for tracked videos, and history for time-series detail. Preserve stable IDs and returned creator_id values. Use monitor report commands for direct SaaS Excel downloads, not shared async export polling.
For ongoing creator monitoring, use monitor auto-track. Its Excel import validates every row before creating one rule; if it returns failed_items, fix the workbook and retry because no partial rule was created.
6. Marketing Ops
Operate NoxInfluencer campaign, collection, CRM, email, message, product-center, short-link, affiliation, and export workflows. Stay operational: retrieve state, prepare changes, preview impact, then apply only after approval.
Workflow
- Identify the target domain and read current state first when IDs are unclear.
- For platform email outreach to creators found in NoxInfluencer, use the email-task path and add recipients by
creator_id; do not retrieve contacts first. Standaloneemail create/updatemust not includecampaign_id; manage intelligent Campaign email in SaaS until Campaign supports multiple email tasks. Discover bound senders withemail sender list [task_id]; never ask the user to inspect browser Network for sender IDs. See the CLI schema and{baseDir}/references/marketing-ops.md. - Use
message sendormessage scheduleonly for existingthread_idreplies. If no thread exists, offer the email-task path for platform creators. For an explicit whole-conversation archive, usemessage archive; never substitutecrm archive. - For JSON-first commands, run
schemaand prepare the minimal--body-fileobject required by the CLI. - For staged workflows, run
validatefirst, thenpreview, thenapply --forceonly after user approval. - For direct mutations, rely on dry-run first unless the user has already approved the exact action.
- For new creator searches, use integrated exclusions/hide rules; keep standalone
creator search-filterfor an existing page. Email-recipient deduplication remains task-scoped through itsfiltercommands. - Use
short-linkfor normal Nox short links only; useaffiliationfor Shopify affiliate campaigns, members, tracking links, discount codes, and performance reads. - If Shopify store authorization is missing, send the user to SaaS; do not try to authorize stores inside the Skill.
- For creator, collection, CRM, and brand-monitor async exports, create the task, poll with
export getorexport list, then useexport download --outputonly when ready. - Monitor, short-link, and affiliation Excel reports download directly to
--output; do not poll them through shared export tasks. - Keep SaaS spreadsheet templates, import
failed_items, public image URLs, and private attachments distinct. Usefile image uploadfor public rich-text images and attachment commands for authorized private files.
Do not draft outreach copy. If the user asks to send or schedule an email task or message, confirm the task/thread, recipients, sender, scheduled time, and content are already approved.
See {baseDir}/references/marketing-ops.md for domain routing, mutation guardrails, and export handling.
7. Brand Monitoring
Use brand-monitor commands for owned/competitor brand analysis and brand asset exports. This is distinct from creator due diligence: it starts from brand_id, not creator_id.
Workflow
- List or get brand monitors when
brand_idis unclear. - Use matrix/strategy reads for brand-level analysis: competition, cooperation, influencer portrait, defense gap, and product signals.
- Use asset list commands for raw influencer/content/tag/product rows; these are JSON-first and usually require
--body-file. - Product signal commands currently support YouTube only. Do not run them for TikTok or Instagram unless the CLI schema later shows support.
- Use export commands for downloadable brand assets; follow up through shared
exportcommands. - Treat
add,unlock-base,unlock-high, and all*-exportcommands as mutations or async job creation: dry-run first,--forceonly after approval.
See {baseDir}/references/brand-monitor.md for command routing and platform boundaries.
Error Handling
For API-backed failures (quota, pricing, creator, monitor, campaign, collection, email, message, crm, product, short-link, affiliation, brand-monitor, dispute, export, file, feedback), use the CLI response's action field when present:
action.url— where the user should goaction.hint— what to do
Local/helper commands (auth, doctor, schema, env, agent exit-codes) may not include action. Read their native output directly instead of assuming the API error envelope.
For unexpected failures, run doctor as a first diagnostic step.
References
{baseDir}/references/cli-response-format.md— response envelope differences and error action handling{baseDir}/references/marketing-ops.md— campaign, spreadsheet, file, email/message, report/export workflows and mutation guardrails{baseDir}/references/brand-monitor.md— brand monitor routing, YouTube-only product signals, export boundaries{baseDir}/references/platform-support.md— data availability by platform{baseDir}/references/search-filters.md— filter selection by user intent{baseDir}/references/verdict-heuristics.md— detailed due-diligence rules and output structure
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