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Pain-Language Engagers · gooseworks-ai | DecimalAI

sales supportby gooseworks-ai

Pain-Language Engagers

gooseworks-ai/pain-language-engagers

Source gooseworks-ai/goose-skills ↗License MIT

Find warm leads by searching LinkedIn for pain-language posts — the frustrations, complaints, and operational struggles your ICP talks about publicly. Asks clarifying questions to understand your product, ICP, and their pain points, then generates pain-language search keywords, scrapes LinkedIn for posts and engagers, enriches profiles, and ICP-filters the results.

SkillScore91Maintained

Automatic

Sales & GTM pack

Last verified 8/16/2026

What it changes

Passed 20 of 22 test cases with the skill, and 3 of 22 without it.

Without skill14%

With skill91%

Checks it passed that the model alone missed

Includes ICP Tier as a column.
Uses the --skip-discovery flag.
Includes Niche Keyword as a column.

and 20 more in the full report

17 fixed3 passed either way2 still failing0 broke

Pass-rate lift: +77 pp
Tokens: +79%
Agent turns: 0%
Response time: -50%

Model gemini-3.6-flashMeasured 8/16/2026v120 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-pain-language-engagers/SKILL.md https://app.decimal.ai/s/gooseworks-ai-pain-language-engagers/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gooseworks-ai-pain-language-engagers, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gooseworks-ai-pain-language-engagers/ and pins it in .decimal/skills.lock

decimalai skills add gooseworks-ai-pain-language-engagers

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-pain-language-engagers/SKILL.md https://app.decimal.ai/s/gooseworks-ai-pain-language-engagers/SKILL.md

Raw file: /s/gooseworks-ai-pain-language-engagers/SKILL.md ↗ · machine-readable summary at /s/gooseworks-ai-pain-language-engagers.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 17

Prompt

We are running the extraction command with config 'skills/pain-language-engagers/configs/freight-hub.json', but want to manually append two extra company page URLs directly in the command line call. Which flag should be passed?

What was checked, without and with the skill
Checked	Without skill	With skill
Uses the --companies flag with comma-separated URLs.	Missed	Passed

case-11 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md176 lines2 filesincludes scripts

Pain-Language Engagers

Find warm leads by scraping LinkedIn for pain-language posts and their engagers. People who write about, react to, or comment on posts expressing operational frustrations are signaling they live with a problem your product solves. This skill turns those signals into a qualified lead list.

Core principle: Search for pain-language, not solution-language. Solution keywords ("AI automation", "workflow optimization") attract builders and VCs. Pain keywords ("can't find drivers", "check calls are killing us") attract operators living with the problem.

Phase 0: Intake

Before generating keywords or running anything, ask the user these questions. Present them as a numbered list and tell the user to answer what's relevant and skip what's not.

Product & Pain Context

What does your product/service do in one sentence?
What specific problem does it solve? Who feels this pain most acutely?
What does your ICP's day-to-day look like WITHOUT your product? (The frustrations, workarounds, manual processes)
What phrases would someone use when complaining about this problem on LinkedIn? (e.g., "check calls are killing us", "can't find drivers", "spending hours on manual data entry")

ICP Definition

What industries/verticals are your target buyers in?
What job titles or roles are your ideal buyers? (e.g., "VP Operations", "Broker owner", "Head of Logistics")
What titles should be EXCLUDED? (e.g., "Software Engineer", "AI researcher")
Any specific competitors whose employees should be filtered out?
Geographic focus? (e.g., "United States only", "global")

LinkedIn Signal Sources

Any LinkedIn company pages where your ICP is likely to engage? (Industry publications, communities, competitor pages)
Any specific LinkedIn posts or content creators your ICP follows?

Phase 1: Generate Pain-Language Keywords

Based on the intake answers, generate ~15-25 pain-language keywords in LinkedIn boolean search syntax. Organize into categories:

Staffing/Resource Pain — hiring difficulties, turnover, burnout
Operational Friction — manual processes, missed SLAs, communication breakdowns
Margin/Growth Pain — cost pressure, scaling challenges
Process Complaints — specific workflow frustrations

Key principle: Every keyword should be something a frustrated operator would actually type or say, not marketing language or solution framing.

Track record

Benchmark

20 / 22

test cases passed, vs 3 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gooseworks-ai / goose-skills

skills/lead-generation/capabilities/pain-language-engagers/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 1 file · scripts

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Pain-Language Engagers

Phase 0: Intake

Product & Pain Context

ICP Definition

LinkedIn Signal Sources

Phase 1: Generate Pain-Language Keywords

Track record

Benchmark

Adoption

SkillSafety

Source

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