Agent skill

AI SDR Deployment

by tech-leads-club in tech-leads-club/agent-skills

Guides founders and sales teams through choosing, deploying and tuning AI sales development reps, from signal-based targeting to human handoff.

Custom licenceAuto-check passedSales & Support

Install AI SDR Deployment

skills CLI
$ npx skills add tech-leads-club/agent-skills --skill ai-sdr -a claude-code

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

GitHub CLI
$ gh skill install tech-leads-club/agent-skills ai-sdr --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-sdr' .claude/skills/ai-sdr && 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
ai-sdr
GitHub stars
7k
Token cost
~4.4k tokens
SKILL.md length
927 words
Files
3 (incl. references)
Skills in repo
74
Repo updated
First seen
Licence
Custom licence

At a glance

Guides founders and sales teams through choosing, deploying and tuning AI sales development reps, from signal-based targeting to human handoff.

  • Works in 7 steps: Current sales motion - Inbound-led,… → Team size - Solo founder, small team… → ICP clarity - Do they have a defined ICP… → …
  • Deciding which AI SDR platform fits a given budget and team size
  • SKILL.md covers Before Starting, Section 1: AI SDR Landscape…, Section 2: The 4-Week AI SDR… and Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The agent plays an AI SDR deployment strategist. It first gathers the sales motion (inbound, outbound, product-led or hybrid), team size, how clear the ideal customer profile is, the CRM and enrichment stack, budget, meeting targets and data quality, and asks for anything missing before it advises.

The main file lists what AI SDRs automate, such as list building, ICP scoring, personalized outreach, sequence execution, meeting booking, reply routing and CRM logging, and says humans still own the conversion points. It includes a platform comparison table, a selection decision framework, human versus AI benchmark metrics and a 4-week deployment program that begins with signal setup and list building. An implementation guide and a quick reference are included as references.

When your agent uses it

  • Deciding which AI SDR platform fits a given budget and team size
  • Building signal-to-action routing for inbound and outbound leads
  • Planning a 4-week rollout of automated lead qualification
  • Deciding where an AI agent hands a conversation to a human rep

Example prompts

  • “I am a solo founder with a HubSpot CRM and a modest budget. Which AI SDR setup makes sense?”
  • “Draft a four-week plan to roll out AI qualification for our inbound demo requests.”
  • “Where should an AI SDR pass a reply over to a human in our outbound sequence?”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Current sales motion - Inbound-led, outbound-led, product-led, or hybrid?
  2. Team size - Solo founder, small team (2-5), or scaled org (10+)?
  3. ICP clarity - Do they have a defined ICP with firmographic + behavioral criteria?
  4. Tech stack - CRM (HubSpot, Salesforce, Pipedrive), enrichment tools, sending infrastructure?
  5. Budget range - Bootstrap ($500-1K/mo), growth ($1K-5K/mo), or scale ($5K+/mo)?
  6. Volume targets - How many qualified meetings per month do they need?
  7. Data quality - Clean CRM data vs. starting from scratch?

What it can do on your machine

Read from SKILL.md and the folder at commit 6df68d5. 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.

    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.

Context cost

AI SDR Deployment loads about 4.4k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 136 tokens; SKILL.md has 927 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~136
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.5k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 927 words (~4,394 tokens).

“You are an AI SDR deployment strategist. You help founders and GTM teams design, deploy, and optimize AI-powered sales development systems. You combine signal-based targeting, automated qualification, multi-channel sequencing, and human-in-the-loop handoffs to build pipeline that converts.”

— opening of SKILL.md by tech-leads-club, Custom licence
name
ai-sdr
metadata.original_author
Chad Boyda / agent-gtm-skills
metadata.modified_by
Felipe Rodrigues - github.com/felipfr
metadata.source
https://github.com/chadboyda/agent-gtm-skills
metadata.version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in packages/skills-catalog/skills/(gtm)/ai-sdr of tech-leads-club/agent-skills.

  • SKILL.md
  • references/implementation-guide.md
  • references/quick-reference.md

Open the folder on GitHubat commit 6df68d5

Compare with similar skills

AI SDR Deployment 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.

AI SDR Deployment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI SDR Deployment this skilltech-leads-club/agent-skills7k—~4.4kAutomated safety check: PassCustom licence
B2B Lead Generationminhnv0807/ai-business-skills609—~1.2kAutomated safety check: PassMIT
Cold Outreachericrisco/rsc-harness180—~4.1kAutomated safety check: PassMIT
Lead Genericrisco/rsc-harness180—~2.6kAutomated safety check: PassMIT
Sales Pipelineericrisco/rsc-harness180—~3.3kAutomated safety check: PassMIT
Suede RevopsJasonColapietro/suede-creator-skills127—~3.8kAutomated safety check: PassMIT

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Categories

Questions about AI SDR Deployment

What does AI SDR Deployment do?

Guides founders and sales teams through choosing, deploying and tuning AI sales development reps, from signal-based targeting to human handoff. The agent plays an AI SDR deployment strategist. It first gathers the sales motion (inbound, outbound, product-led or hybrid), team size, how clear the ideal customer profile is, the CRM and enrichment stack, budget, meeting targets and data quality, and asks for anything missing before it advises.

When should I use AI SDR Deployment?

AI SDR Deployment fits situations like: deciding which AI SDR platform fits a given budget and team size; building signal-to-action routing for inbound and outbound leads; planning a 4-week rollout of automated lead qualification; deciding where an AI agent hands a conversation to a human rep.

How do I install AI SDR Deployment in Claude Code?

Run `npx skills add tech-leads-club/agent-skills --skill ai-sdr -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/ai-sdr in tech-leads-club/agent-skills) into .claude/skills/ai-sdr in your project. Claude Code loads it when a task matches its description.

How do I install AI SDR Deployment in Codex?

Run `npx skills add tech-leads-club/agent-skills --skill ai-sdr -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/ai-sdr in tech-leads-club/agent-skills) into .agents/skills/ai-sdr in your project. Codex loads it when a task matches its description.

Can I use AI SDR Deployment 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 tech-leads-club/agent-skills --skill ai-sdr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-sdr, .gemini/skills/ai-sdr, .github/skills/ai-sdr and .opencode/skills/ai-sdr in your project.

What does AI SDR Deployment need to run?

SKILL.md names no scripts, command-line tools or credentials: AI SDR Deployment is instructions for the agent only.

Does AI SDR Deployment 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 AI SDR Deployment 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 AI SDR Deployment use?

AI SDR Deployment has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does AI SDR Deployment use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.

What are the alternatives to AI SDR Deployment?

Skills that share tags, products or a category with AI SDR Deployment: B2B Lead Generation (minhnv0807/ai-business-skills, 609 stars), Cold Outreach (ericrisco/rsc-harness, 180 stars), Lead Gen (ericrisco/rsc-harness, 180 stars) and Sales Pipeline (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI SDR Deployment?

tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.

Source: tech-leads-club/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.