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Explee master orchestrator

Skill Sheshiyer/skill-clusters/skills/explee-master-orchestrator

Hub-and-spoke agent-skill clusters, one per stack (Astro·GSAP·Remotion, Tauri, …). Installable via skills.sh.

Install
npx -y skills add Sheshiyer/skill-clusters --skill explee-master-orchestrator

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Route user intent to the correct Explee product workflow (Search, Enrichment, AI Agents, AutoGTM) using API key auth first with cookie fallback. USE WHEN a task matches the Craft workspace workflow for explee-master-orchestrator.

SKILL.md

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Explee Master Orchestrator

Use this as the single entry skill for Explee tasks. It decides which product workflow to run and which credential mode to use.

Child Skills (routing targets)

  • explee-product-search
  • explee-product-enrichment
  • explee-product-ai-agents
  • explee-product-autogtm
  • explee-api-cookie-access (auth fallback guidance)

Routing Rules by Intent

Route to Search when user asks to:

  • Find companies / accounts / prospects
  • Find people by role/title/domain
  • Convert natural-language ICP to filters

Primary endpoints:

  • POST /public/api/v1/search/nl-to-filters
  • POST /public/api/v1/search/companies
  • POST /public/api/v1/search/people

Route to Enrichment when user asks to:

  • Find/verify work emails
  • Run single or batch email enrichment
  • Track enrichment task status

Primary endpoints:

  • POST /public/api/v1/enrich/email
  • POST /public/api/v1/enrich/email/batch
  • GET /public/api/v1/enrich/email/batch/{task_id}

Route to AI Agents when user asks to:

  • Run Explee pre-built agent workflows
  • Run custom agents with prompts/schemas
  • Poll agent runs for completion

Primary endpoints:

  • GET /public/api/v1/agents
  • POST /public/api/v1/agents/{agent_id}/runs
  • POST /public/api/v1/agents/runs
  • GET /public/api/v1/agents/runs/{run_id}

Route to AutoGTM when user asks to:

  • Build end-to-end GTM pipeline
  • Turn ICP into prioritized outreach list
  • Chain search + enrichment + ranking

Pipeline pattern:

  1. nl-to-filters
  2. companies/people search
  3. email enrichment
  4. prioritization output

Credential Strategy (IMPORTANT)

Use both stored credential types with this preference order:

  1. Primary: Cookie auth

    • Cookie: <cookie_string>
    • Use this first when both credentials are available.
  2. Fallback: API key header

    • X-API-Key: <api_key>
    • Use when cookie is unavailable or rejected.
  3. If auth fails:

    • On 401/403 with cookie, retry once with API key (if available).
    • If both fail, ask user to refresh credentials.

Request Templates

Template A — Cookie first

curl 'https://api.explee.com/<endpoint>' \
  -H 'Accept: application/json' \
  -H 'Content-Type: application/json' \
  -H "Cookie: ${EXPLEE_COOKIE}"

Template B — API key fallback

curl 'https://api.explee.com/<endpoint>' \
  -H 'Accept: application/json' \
  -H 'Content-Type: application/json' \
  -H "X-API-Key: ${EXPLEE_API_KEY}"

Standard Operating Flow

  1. Classify intent into one route (Search / Enrichment / Agents / AutoGTM).
  2. Confirm objective and expected output format.
  3. Execute with cookie auth first.
  4. If needed, retry with API key fallback.
  5. Return concise execution summary:
    • selected route
    • endpoint(s)
    • auth mode used
    • status code(s)
    • result summary and next action

Guardrails

  • Never print full API key or full cookie string in user-visible output.
  • Call out estimated credit impact before large/batch operations.
  • For mutating or high-cost actions, confirm scope first.
  • Keep initial runs small (pilot batch) before scaling.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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