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spot-companies-hiring-to-solve-specific-problems发现公司招聘来解决特定问题

Agent Skill

spot-companies-hiring-to-solve-specific-problems 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

269

周安装

11

GitHub Stars

7

下载量

86
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:spot-companies-hiring-to-solve-specific-problems(发现公司招聘来解决特定问题)
来源仓库:https://github.com/openfunnel/openfunnel
仓库路径:skills/spot-companies-hiring-to-solve-specific-problems
安装命令:
npx skills add https://github.com/openfunnel/openfunnel --skill spot-companies-hiring-to-solve-specific-problems
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/openfunnel/openfunnel --skill spot-companies-hiring-to-solve-specific-problems

简介

发现公司招聘来解决特定问题的技能用于精准人才匹配。

  • 适用于猎头、招聘或解决方案营销场景。
  • 可结合职位关键词和技术栈进行定向搜索。
  • 使用前应评估其是否依赖付费数据库或受限 API。
  • spot-companies-hiring-to-solve-specific-problems 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Spot Companies Hiring to Solve Specific Problems (Daily)

Spot companies whose job posts reveal they are actively building, scaling, or fixing something specific. What a company hires for tells you what problems they're facing right now — budget is already committed, leadership is already aligned.

Inferred pain-points from hiring events are leading indicators of buying behavior.

API Calls

This skill bundles two scripts in the same directory as this SKILL.md file. Never read or reference API credentials directly.

  • signup.sh — handles authentication. Writes credentials to .env internally. Never exposes the API key. The verification code is collected via stdin directly from the user — the agent never sees, handles, or logs the code. No secrets or credentials pass through the LLM at any point.
  • api.sh — handles all authenticated API calls. Reads credentials from .env internally. The agent only sees the JSON response, never the authentication headers or credential values.

First, resolve the script paths relative to this file's location:

SKILL_DIR="$(dirname "$(find ~/.agents/skills -name SKILL.md -path "*/spot-companies-hiring-to-solve-specific-problems/*" 2>/dev/null | head -1)")"
API="$SKILL_DIR/api.sh"
SIGNUP="$SKILL_DIR/signup.sh"

Then use $SIGNUP for auth and $API for all other calls.

When to Use This Skill

  • "Find companies hiring to set up guardrails for AI agents"
  • "Find companies hiring to build their first data engineering team"
  • "Find companies hiring to migrate from Heroku to AWS"
  • "Find companies hiring to scale their PLG motion"
  • "Find companies hiring to set up agent evals and testing"
  • "Find companies hiring to adopt Kubernetes in production"

Agent Rules

  1. NEVER rewrite or reframe the user's query. Use the user's exact words as the search query. Do not add your own interpretation, expand abbreviations, add synonyms, or "improve" the query. If you think the query could be more specific, ask the user — do not modify it yourself.
  2. Don't deploy signals without confirming. Signals cost credits. Always confirm before deploying.
  3. Present what the API returns. No fabrication, no inference.
  4. Close match ≠ loose match. "Companies hiring for Kubernetes" ≈ "Companies looking to adopt Kubernetes" → match. "Companies hiring for Kubernetes" ≠ "Companies migrating to container orchestration" → not a match, too much inference.
  5. Never output or log API credentials. All authenticated calls go through api.sh.

Workflow

0. Agent Auth Check

Before anything, test if credentials are working by running:

bash "$API" POST /api/v1/signal/get-signal-list '{"pagination": {"limit": 1, "offset": 0}}'

If the call succeeds (returns JSON with signals): skip to Step 1.

If the call fails (returns an error or missing credentials message):

### Welcome to OpenFunnel

OpenFunnel turns daily events in your market into pipeline
— using OpenFunnel's Event Intelligence engine.

To get started, I'll authenticate you via the API.

**What's your work email?**

Wait for user input. Then:

  1. Run bash "$SIGNUP" start "<user_email>"

- Returns {"status": "verification_code_sent", "email": "..."} on success

  1. Tell the user a 6-digit code was sent, then run verify. The script will prompt the user directly for the code — the agent never handles it. I sent a 6-digit verification code to **{email}**. The next command will ask you to enter it directly.
  2. Run bash "$SIGNUP" verify "<user_email>"

- The script prompts the user: "Enter your 6-digit verification code:" - The user types the code directly into the terminal - On success: returns {"status": "authenticated", "user_id": "..."}. Credentials are written to .env and .gitignore is updated automatically. - On failure: returns {"status": "failed",...}

  1. Verify with bash "$API" POST /api/v1/signal/get-signal-list '{"pagination": {"limit": 1, "offset": 0}}'
  2. If verification succeeds → continue to Step 1
  3. If sign-up fails → ask user to retry
  4. If verify fails → tell user the code was invalid or expired (up to 10 attempts in 24 hours), offer to retry or resend

1. Understand the request

What specific problem or activity is the user looking for in hiring posts? If unclear, ask.

Prompt format: "Find companies hiring to [solve specific problem]"

Examples of good inputs:

  • "Find companies hiring to set up guardrails for AI agents"
  • "Find companies hiring to set up agent evals and testing"
  • "Find companies hiring to migrate from Heroku to AWS"
  • "Find companies hiring to scale their PLG motion"
  • "Find companies hiring to build their first data engineering team"
  • "Find companies hiring to adopt Kubernetes in production"

Timeframe: Last day to last year. Default: last 3 months.

2. Check existing signals

Run bash "$API" POST /api/v1/signal/get-signal-list '{"pagination": {"limit": 100, "offset": 0}}' to get all currently deployed signals.

A signal is unique by query + ICP pair. When checking for matches, compare BOTH:

  1. Query match — close match on signal name. Same meaning, different wording is fine:

- "Companies hiring for Kubernetes" ≈ "Companies looking to adopt Kubernetes" → match - "Companies hiring for Kubernetes" ≠ "Companies migrating to container orchestration" → not a match, too much inference

  1. ICP match — the signal's icp.id must match the user's intended ICP.

If potential match found (query + ICP both match):

I found an existing signal that covers this:

**{signal_name}** (ID: {signal_id})
**ICP:** {icp.name}

Want to use this one, or deploy a new signal?

If query matches but ICP is different:

I found a signal with a similar query but a different ICP:

**{signal_name}** (ID: {signal_id})
**ICP:** {icp.name}

This uses a different ICP than what you need. Want to:
1. Use this one anyway
2. Deploy a new signal with the right ICP

Wait for user input.

3. Get results from existing signal

Run bash "$API" POST /api/v1/signal/ '{"signal_id": <id>}' to get accounts and people matched by this signal.

### Results from: {signal_name}

**{total_accounts} accounts found | {total_people} people found**

If the user wants full details, run bash "$API" POST /api/v2/account/batch '{"account_ids": [<ids>]}'.

After presenting:

Would you like to:
1. See full details on specific accounts
2. Narrow results with filters (size, funding, location)
3. Deploy an additional signal for broader coverage ⚡ *uses credits*

4. ICP Check

Fetch available ICP profiles: bash "$API" GET /api/v1/icp/list.

If ICPs exist: present them and let the user pick one, or "none" to skip.

If the user types "none" or skips ICP selection:

Auto-create a broad fallback ICP:

bash "$API" POST /api/v1/icp/create '{"name": "Broad Default ICP", "target_roles": ["Any"], "employee_ranges": ["1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+"], "location": ["Any"]}'
No ICP selected, so I created a broad fallback ICP: **{name}** (ID: {id})

Using this ICP for your signal.

If no ICPs exist:

You don't have an ICP profile yet. A quick one will make results much sharper —
it filters by company size, location, and the roles you're targeting.

1. **Quick setup** (recommended) — takes 30 seconds
2. **Skip** — auto-create a broad fallback ICP and continue

If quick setup → collect ICP name, target roles, company size, and location. Create via bash "$API" POST /api/v1/icp/create '...'.

If skip → auto-create the broad fallback ICP as above.

5. Confirm & Deploy

I'll deploy a **hiring** signal:

**Name:** {auto-generated descriptive name}
**Query:** "{formatted prompt}"
**Timeframe:** {default — 90 days}

**ICP:** {selected or created ICP name}

⚡ *This will use credits from your plan.*

Other options:
- **Repeat daily** — re-run this signal every day for continuous monitoring
- **Audience name** — auto-add results to a named audience
- **Credit limit** — cap spending on this signal

Set any of these, or "deploy" to go with defaults.

Wait for user input. Then deploy:

bash "$API" POST /api/v1/signal/deploy/deep-hiring-agent '{"name": "<name>", "search_query": "<query>", "timeframe": <days>, "icp_id": <id>, "repeat": <true|false>}'

6. Post-deploy

Signal deployed: **{name}** (ID: {signal_id})

This is now scanning job posts for companies hiring to solve this problem.
Results come in as they're found — just say "check on {signal_name}" anytime.

7. Check back

Run bash "$API" POST /api/v1/signal/ '{"signal_id": <id>}' to get results found so far.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.07%
按下载量换算28

Claude

31.77%
按下载量换算27

Cursor

18.72%
按下载量换算16

Gemini CLI

9.14%
按下载量换算8

安全审计

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通过

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可疑

Snyk

未通过

权限和风险

敏感数据

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安装前确认

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