MCPInstall

follow-up

by humanizeraiAI & Agents

Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.

Installs
504
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/humanizerai/agent-skills --skill follow-up
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads follow-up automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Write Follow-Up Email

Generate a follow-up email that re-engages prospects who didn't respond.

Input

Parse $ARGUMENTS for:

  • Original email or context of first outreach
  • Days since last email: How long ago was it sent
  • Follow-up number: Is this #1, #2, or #3?
  • New context (optional): News, trigger events, new value to offer

If original context is missing, ask for the key points from the first email.

Strategy by Follow-Up Number

Follow-up #1 (3-5 days after)

  • Assume they're busy, not uninterested
  • Add new value or angle
  • Keep it shorter than original

Follow-up #2 (7-10 days after)

  • Try a different approach
  • Share a relevant insight or resource
  • Reframe the value prop

Follow-up #3 (14+ days after)

  • "Break-up" email or permission-based close
  • Give them an easy out
  • Last attempt before moving on

Frameworks

The Bump

  • Quick, friendly nudge
  • "Floating this back up" energy
  • Best for follow-up #1

The Value-Add

  • Share something useful (article, insight, idea)
  • Shows you're thinking about their problems
  • Best for follow-up #2

The Breakup

  • "Should I close your file?"
  • Creates urgency without pressure
  • Best for follow-up #3

Hard Rules

  1. Shorter than original - Each follow-up gets shorter
  2. New angle: Don't just repeat the first email
  3. No guilt trips: "I haven't heard back" sounds needy
  4. No "just checking in": Empty phrase, add value instead
  5. Reference original: Brief callback to first email
  6. One CTA: Same or simplified ask
  7. 30-75 words max: Follow-ups should be scannable

What NOT to Write

  • "I wanted to follow up on my last email" (weak opener)
  • "I'm sure you're busy but..." (apologetic)
  • Resending the exact same email
  • Being passive-aggressive about no response
  • Multiple CTAs or new complex asks

Output Format

Subject: Re: [original subject] or [new short subject]

[Email body]

[First name]

Framework used: [which one] What's different: [how this differs from original] Word count: [number]

FAQ

What does the follow-up skill do?

Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.

How do I install follow-up?

Run npx skills add https://github.com/humanizerai/agent-skills --skill follow-up in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/follow-up/ (personal) or .claude/skills/follow-up/ (project).

Which AI agents can use follow-up?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is follow-up safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains follow-up?

It is published by humanizerai in humanizerai/agent-skills. It has 504 recorded installs.

More from humanizerai/agent-skills

View all →

humanize

humanizerai/agent-skills

Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.

AI & Agents4.1K installs

detect-ai

humanizerai/agent-skills

Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting.

AI & Agents981 installs

readability

humanizerai/agent-skills

Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.

AI & Agents576 installs

cold-email

humanizerai/agent-skills

Write cold emails that get replies using proven frameworks (AIDA, PAS, BAB). Enforces best practices like 50-125 word limit and personalized openers.

Productivity & Automation503 installs

word-stats

humanizerai/agent-skills

Get word count, character count, reading time, and text statistics. Quick analysis without questions.

Docs & Writing500 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs