Agent skill

Reply Classifier

by janskuba in janskuba/go-to-market-orchestrator

Read reply emails and classify them by intent (interested, objection, not now, unsubscribe) with recommended next actions.

No licenceAuto-check: notes

Install Reply Classifier

skills CLI
$ npx skills add janskuba/go-to-market-orchestrator --skill reply-classifier -a claude-code

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

GitHub CLI
$ gh skill install janskuba/go-to-market-orchestrator reply-classifier --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/janskuba/go-to-market-orchestrator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reply-classifier .claude/skills/reply-classifier && 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
reply-classifier
GitHub stars
204
Token cost
~1.2k tokens
SKILL.md length
385 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
None found

At a glance

Read reply emails and classify them by intent (interested, objection, not now, unsubscribe) with recommended next actions.

  • Works in 2 steps: For each classified reply, generate → Flag edge cases: replies that are…
  • SKILL.md covers Task, Input Requirements, Instructions and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reply Classifier is an agent skill from janskuba/go-to-market-orchestrator. Read reply emails and classify them by intent (interested, objection, not now, unsubscribe) with recommended next actions.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

Example prompts

  • “/reply-classifier”

Workflow steps

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

  1. For each classified reply, generate
  2. Flag edge cases: replies that are ambiguous or could be read multiple ways → mark as "needs human review"

What it can do on your machine

Read from SKILL.md and the folder at commit f638404. 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

Reply Classifier loads about 1.2k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 385 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:77
    ebhook: set `SLACK_WEBHOOK_URL` in your `.env` file.

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 385 words (~1,175 tokens).

“Read incoming reply emails from outbound campaigns and classify each by intent. Output a categorized list with recommended next actions so your team responds fast and appropriately.”

— opening of SKILL.md by janskuba
name
reply-classifier

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/reply-classifier of janskuba/go-to-market-orchestrator.

Open the folder on GitHubat commit f638404

Compare with similar skills

Reply Classifier 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.

Reply Classifier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reply Classifier this skilljanskuba/go-to-market-orchestrator204—~1.2kAutomated safety check: NotesNone
Emailasgeirtj/system_prompts_leaks69k—~3.5kAutomated safety check: PassCC0-1.0
Email ManagerLeoYeAI/openclaw-master-skills2.2k—~5.5kAutomated safety check: PassMIT
Mailtrap Email Integrationaffaan-m/ECC274k1 repos~955Automated safety check: PassMIT
Email Systemsdavila7/claude-code-templates32k1 repos~548Automated safety check: PassMIT
Email Opsaffaan-m/ECC274k1 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • Email

    asgeirtj/system_prompts_leaks

    Read or triage email, clean up an inbox, draft or send messages, and check delivery.

    69k GitHub stars~3.5k tokensUpdated 2 days ago
    Productivity & AutomationAuto-check passed
  • Email Manager

    LeoYeAI/openclaw-master-skills

    When user asks to write email, draft reply, manage inbox, email template, follow up email, cold email, professional email, email subject line, thank you email, apology email, meeting request email…

    2.2k GitHub stars~5.5k tokensUpdated 2 mo ago
    Writing & ContentAuto-check passed
  • Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication.

    274k GitHub starsUsed in 1 repo~955 tokens
    Backend & APIsAuto-check passed
  • Email Systems

    davila7/claude-code-templates

    Email has the highest ROI of any marketing channel. An agent skill from davila7/claude-code-templates.

    32k GitHub starsUsed in 1 repo~548 tokens
    Backend & APIsAuto-check passed
  • Email Ops

    affaan-m/ECC

    Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC.

    274k GitHub starsUsed in 1 repo~1.1k tokens
    Writing & ContentAuto-check passed
  • Gmail Reply via gws

    googleworkspace/cli

    Replies to a Gmail message from the gws CLI with automatic threading, plus CC, BCC, extra recipients, attachments, HTML bodies and draft or dry-run modes.

    31k GitHub stars~655 tokensUpdated yesterday
    Productivity & AutomationAuto-check passed

More from janskuba/go-to-market-orchestrator

  • Campaign Builder

    janskuba/go-to-market-orchestrator

    Build a complete micro-campaign from ICP segment definition to campaign-ready output files.

    204 GitHub stars~1.1k tokensUpdated 5 mo ago
    Auto-check passed
  • Lead Enrichment

    janskuba/go-to-market-orchestrator

    Enrich a list of companies or contacts with firmographic, technographic, and contact data using available APIs.

    204 GitHub stars~672 tokensUpdated 5 mo ago
    Auto-check passed
  • Personalization Writer

    janskuba/go-to-market-orchestrator

    Generate personalized first lines, email copy, or LinkedIn messages based on prospect data and copy frameworks.

    204 GitHub stars~668 tokensUpdated 5 mo ago
    Auto-check passed
  • Pipeline Reviewer

    janskuba/go-to-market-orchestrator

    Analyze CRM pipeline data to identify risks, recommend actions, and generate a weekly pipeline summary.

    204 GitHub stars~1k tokensUpdated 5 mo ago
    Auto-check passed
  • Signal Monitor

    janskuba/go-to-market-orchestrator

    Scan target accounts for new buying signals and output a prioritized alert list.

    204 GitHub stars~1k tokensUpdated 5 mo ago
    Auto-check: notes

Questions about Reply Classifier

What does Reply Classifier do?

Read reply emails and classify them by intent (interested, objection, not now, unsubscribe) with recommended next actions. Reply Classifier is an agent skill from janskuba/go-to-market-orchestrator. Read reply emails and classify them by intent (interested, objection, not now, unsubscribe) with recommended next actions.

How do I install Reply Classifier in Claude Code?

Run `npx skills add janskuba/go-to-market-orchestrator --skill reply-classifier -a claude-code`. Or copy the skill folder (skills/reply-classifier in janskuba/go-to-market-orchestrator) into .claude/skills/reply-classifier in your project. Claude Code loads it when a task matches its description.

How do I install Reply Classifier in Codex?

Run `npx skills add janskuba/go-to-market-orchestrator --skill reply-classifier -a codex`. Or copy the skill folder (skills/reply-classifier in janskuba/go-to-market-orchestrator) into .agents/skills/reply-classifier in your project. Codex loads it when a task matches its description.

Can I use Reply Classifier 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 janskuba/go-to-market-orchestrator --skill reply-classifier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reply-classifier, .gemini/skills/reply-classifier, .github/skills/reply-classifier and .opencode/skills/reply-classifier in your project.

What does Reply Classifier need to run?

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

Does Reply Classifier 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 Reply Classifier safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Reply Classifier use?

No licence was found for Reply Classifier or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Reply Classifier use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Reply Classifier?

Skills that share tags, products or a category with Reply Classifier: Email (asgeirtj/system_prompts_leaks, 69k stars), Email Manager (LeoYeAI/openclaw-master-skills, 2.2k stars), Mailtrap Email Integration (affaan-m/ECC, 274k stars) and Email Systems (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reply Classifier?

janskuba (a GitHub user) maintains it in janskuba/go-to-market-orchestrator, which has 204 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on April 27, 2026.

Source: janskuba/go-to-market-orchestrator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.