Agent skill

B2b Reach Engineering

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation.

MITAuto-check passed

Install B2b Reach Engineering

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill b2b-reach-engineering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins b2b-reach-engineering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/b2b-reach-engineering .claude/skills/b2b-reach-engineering && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
b2b-reach-engineering
GitHub stars
1.3k
Token cost
~992 tokens
SKILL.md length
400 words
Files
1
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation.

  • Works in 4 steps: Extract Non-Negotiables → Build The Reach List → Choose Controlled Delivery Channels → …
  • The right market may not know the company exists
  • SKILL.md covers Source Traceability, Diagnostic Signals, Workflow and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

B2b Reach Engineering is an agent skill from hashgraph-online/awesome-codex-plugins. Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation. Use when the right market may not know the company exists, outbound gets little signal, brand awareness is vague, the target market is too broad, or the team needs a concrete account list and reach plan.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • The right market may not know the company exists
  • Outbound gets little signal
  • Brand awareness is vague
  • The target market is too broad

Example prompts

  • “/b2b-reach-engineering”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Extract Non-Negotiables
  2. Build The Reach List
  3. Choose Controlled Delivery Channels
  4. Saturate Before Optimizing

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

B2b Reach Engineering loads about 992 tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 400 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~992

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 400 words, ~992 tokens.

Download SKILL.mdSave it as .claude/skills/b2b-reach-engineering/SKILL.md (or your agent's skills folder).
name
b2b-reach-engineering
description
Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation. Use when the right market may not know the company exists, outbound gets little signal, brand awareness is vague, the target market is too broad, or the team needs a concrete account list and reach plan.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
B2B Reach Engineering
metadata.category
Marketing
metadata.tags
b2b-sales,sales,outbound,reach,account-based-marketing

B2B Reach Engineering

Use this skill when obscurity is the sales constraint. The goal is to turn a vague market into a reachable list of companies and buyers, then plan deliberate first-touch coverage before optimizing conversion.

Source Traceability

Primary source: Unf*ck Your Sales by Jakob Greenfeld, especially the "Reach", "Diagnostics", "The Rejection Fallacy", "The TAM Fallacy", "The Precision Fallacy", "The First-Touch Law", and "Engineering Reach" sections.

Diagnostic Signals

Reach is likely the constraint when:

  • The company has a good offer but too few relevant buyers know it exists.
  • The team interprets silence as rejection before confirming actual market exposure.
  • Targeting is either over-narrow and hesitant or too broad and noisy.
  • The team talks about a huge TAM but cannot name the specific companies and people who must know the company.
  • Optimization is focused on subject lines, funnels, or conversion before the first pass through the target market is complete.

Workflow

1. Extract Non-Negotiables

Use evidence from closed deals, serious opportunities, and competitor wins. Identify the minimum criteria that must be true for a deal to be plausible.

Capture:

  • Company type, size, geography, system, regulation, or trigger.
  • Buyer role or owner of the pain.
  • Pain intensity and ability to act.
  • Disqualifiers that make a deal unrealistic.
2. Build The Reach List

Convert the target market into named accounts:

  • List only companies that match the non-negotiables.
  • Name the 1-3 humans at each account who feel the pain or can act on it.
  • Keep the list concrete enough to contact and measure.
  • Treat broad TAM language as a warning sign.
Show full SKILL.md (143 more words)Show less
3. Choose Controlled Delivery Channels

Prefer channels where delivery can be proven or closely estimated:

  • Cold email to named buyers.
  • Manual DMs.
  • Calls.
  • Account-based ads against the list.
  • Warm intros when available.

Avoid waiting for broad brand awareness, generic posting, or black-box targeting when reach coverage is the constraint.

4. Saturate Before Optimizing

Do not judge messaging, conversion, or sales quality until every qualified buyer on the list has had at least one real exposure.

Track:

  • Accounts identified.
  • Buyers identified.
  • First touches delivered.
  • Delivery or exposure rate.
  • Replies or second-step signals, as secondary metrics.

Output Format

markdown
# B2B Reach Plan

## Non-Negotiables
- Must-have account criteria:
- Must-have buyer criteria:
- Disqualifiers:

## Target List Plan
| Segment | Account Criteria | Buyer Roles | Estimated Accounts | Source |
|---------|------------------|-------------|--------------------|--------|

## Channel Plan
| Channel | Why It Controls Delivery | First-Touch Action | Coverage Metric |
|---------|--------------------------|--------------------|-----------------|

## Saturation Target
- Accounts:
- Buyers:
- First-touch deadline:
- Success signal:

Quality Bar

  • Do not call silence rejection until exposure has been proven.
  • Do not recommend broad awareness plays when named-buyer reach is possible.
  • Do not over-segment before the first pass is complete.
  • Do not blast unqualified lists and call it reach.
  • Make coverage measurable before discussing optimization.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/LVTD-LLC/skills/skills/b2b-reach-engineering of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

B2b Reach Engineering next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

B2b Reach Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
B2b Reach Engineering this skillhashgraph-online/awesome-codex-plugins1.3k—~992Automated safety check: PassMIT
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Deploying Software Defined Perimetermukul975/Anthropic-Cybersecurity-Skills34k—~1.9kAutomated safety check: PassApache-2.0
Flow Definenyldn/claude-octopus4.2k1 repos~6.5kAutomated safety check: PassMIT
Define My Content Pillarssickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT

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Questions about B2b Reach Engineering

What does B2b Reach Engineering do?

Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation. B2b Reach Engineering is an agent skill from hashgraph-online/awesome-codex-plugins. Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation.

When should I use B2b Reach Engineering?

B2b Reach Engineering fits situations like: the right market may not know the company exists; outbound gets little signal; brand awareness is vague; the target market is too broad.

How do I install B2b Reach Engineering in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill b2b-reach-engineering -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/b2b-reach-engineering in hashgraph-online/awesome-codex-plugins) into .claude/skills/b2b-reach-engineering in your project. Claude Code loads it when a task matches its description.

How do I install B2b Reach Engineering in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill b2b-reach-engineering -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/b2b-reach-engineering in hashgraph-online/awesome-codex-plugins) into .agents/skills/b2b-reach-engineering in your project. Codex loads it when a task matches its description.

Can I use B2b Reach Engineering in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill b2b-reach-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/b2b-reach-engineering, .gemini/skills/b2b-reach-engineering, .github/skills/b2b-reach-engineering and .opencode/skills/b2b-reach-engineering in your project.

What does B2b Reach Engineering need to run?

SKILL.md names no scripts, command-line tools or credentials: B2b Reach Engineering is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does B2b Reach Engineering access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is B2b Reach Engineering safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does B2b Reach Engineering use?

B2b Reach Engineering is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does B2b Reach Engineering use?

About 992 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to B2b Reach Engineering?

Skills that share tags, products or a category with B2b Reach Engineering: Agent Reach (Panniantong/Agent-Reach, 94k stars), Define Loop (yc-software/qm, 15k stars), Deploying Software Defined Perimeter (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Flow Define (nyldn/claude-octopus, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains B2b Reach Engineering?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.