search-strategy

search-strategy is a skill for Claude Code, Codex from Ken-Technology/cold-email-skills. It costs 93 tokens per session (2,553 once invoked), scanned A, original, MIT.

A skill that turns an ideal customer profile, or ICP—the description of the companies and people a campaign wants to reach—into search filters. The filters can be used in prospecting tools such as Apollo, Sales Navigator, Clay, ZoomInfo, LinkedIn, or a manually built list.

In plain words
What is it for?
Use it when deciding who to target for a cold-email campaign. It helps define job roles, seniority, company type, industry, size, business model, intent signals, and exclusions.
Why use it?
It creates reusable targeting guidance without tying the campaign to one prospecting provider. It also prevents the system from inventing a target audience when key information is missing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when deciding who to target for a cold-email campaign. It helps define job roles, seniority, company type, industry, size, business model, intent signals, and exclusions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ken-technology/cold-email-skills/search-strategy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ken-Technology/cold-email-skills --skill search-strategy
Clone the repo
git clone --depth 1 https://github.com/Ken-Technology/cold-email-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for search-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/search-strategy/github.svg)](https://agentmods.dev/skills/ken-technology/cold-email-skills/search-strategy)
Your own site
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/search-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/search-strategy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for search-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/search-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/search-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,553 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.02553
Opus 5.5 $0.00037 $0.01021
Sonnet 5.5 $0.00019 $0.00511
Haiku 4.5 $0.00009 $0.00255

Measured 5d ago against content hash 9b49a5d426f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

search-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

search-strategy/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Strategy Skill

Turn an ideal customer profile into portable prospect-search filters the user can run in any list tool (Apollo, Sales Navigator, Clay, ZoomInfo, LinkedIn, or a hand-built list), check that the volume fits the campaign, and write the result to search-strategy.md so the rest of the campaign has a clear, reusable targeting brief. Do not bind the work to one vendor.

Inputs

  1. Read research.md from the campaign workspace (./cold-email/{slug}/) when it exists: ICP details, buyer roles, company attributes, competitors, named target accounts and example prospects.
  2. Read plan.md for the broad ICP, the segments and the lead target, or the user's brief when there is no plan.
  3. If either is missing, ask the user for the target role (title, or function plus seniority), the company type (industry, size, business model) and the problem the offer solves. Never invent an ICP: a short question beats a guess.

Core Principles

  • Breadth over perfection - Capture the full addressable market. AI qualification handles edge cases.
  • Size to the target - When the user or the calling agent sets a lead target and a count range, tune to that range. Otherwise aim for 3x-10x the desired contacts: about 5x covers enrichment (~30% email found), verification (~70% valid), and qualification (~60% pass).
  • Function + seniority over long title lists for broad roles. Use the tool's seniority filter (Director, VP, C-level) instead of listing every senior title.
  • Keywords last - Profile keywords shrink a search fast. Use one only when titles and functions cannot find the role, and let qualification judge the rest.
  • Geography as the offer is sold - Person location, company HQ or both, depending on how the offer is sold. Check that the user's list tool covers the region before you build on it.
  • Full-phrase title matching - A title matches the whole phrase, not single words. Expand every role into 8-15 real variants ("VP Marketing", "VP of Marketing", "Vice President Marketing", "Head of Marketing", "Director of Marketing"); unexpanded lists silently miss people.
  • Capture exclusions - Competitors, current customers, agencies when selling to product companies, and other bad fits, so the user never spends exports on them.

Read the full file on GitHub · 145 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed 9b49a5d426f5
  2. 9d ago Changed · -9 lines 5e879009c100
  3. 2mo ago First seen · 154 lines · 93 tokens per session scan A 02b3b5cb6f12

Subscribe to this mod's changes

search-strategy is a skill published in the GitHub repository Ken-Technology/cold-email-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 93 tokens to every session and 2,553 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

search-strategy compared with skills from other repositories

search-strategy next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
search-strategyKen-Technology/cold-email-skillsSkill46d agoMITA93Claude Code, Codex
cold-emailFrontal-so/outbound-skillsSkill91mo agoMITA177Claude Code, Codex
list-buildingFrontal-so/outbound-skillsSkill91mo agoMITA190Claude Code, Codex
claygentFrontal-so/outbound-skillsSkill91mo agoMITA131Claude Code
conditional-logicFrontal-so/outbound-skillsSkill91mo agoMITA128Claude Code
people-enrichmentFrontal-so/outbound-skillsSkill91mo agoMITA110Claude Code
scoringFrontal-so/outbound-skillsSkill91mo agoMITA113Claude Code