Operational playbook for running cold email continuously. An agent skill from growthenginenowoslawski/coldoutboundskills.

MITAuto-check passedSales & Support

Install Cold Email Weekly Rhythm

skills CLI
$ npx skills add growthenginenowoslawski/coldoutboundskills --skill cold-email-weekly-rhythm -a claude-code

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

GitHub CLI
$ gh skill install growthenginenowoslawski/coldoutboundskills cold-email-weekly-rhythm --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/growthenginenowoslawski/coldoutboundskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cold-email-weekly-rhythm .claude/skills/cold-email-weekly-rhythm && 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
cold-email-weekly-rhythm
GitHub stars
753
Token cost
~2.3k tokens
SKILL.md length
1,141 words
Files
1
Skills in repo
49
Repo updated
First seen
Licence
MIT

At a glance

Operational playbook for running cold email continuously. An agent skill from growthenginenowoslawski/coldoutboundskills.

  • Works in 4 steps: Run /positive-reply-scoring --campaign-id= → Compare to previous campaigns' positive… → Decide → …
  • Tasks that involve Cold outreach
  • SKILL.md covers Step 1 (required before using…, Monday — Deliverability audit…, Wednesday — Positive-reply… and Friday — Campaign…, plus 6 more sections
  • Calls npx

What it does

Cold Email Weekly Rhythm is an agent skill from growthenginenowoslawski/coldoutboundskills. Operational playbook for running cold email continuously. Prescribes what to do on Monday / Wednesday / Friday / biweekly / monthly / quarterly. Use this as your ongoing cadence once your first campaign is live. What separates hobbyist from top 1% operators isn't tooling — it's consistency. This skill is the schedule.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Cold outreach. The repository describes itself as: Open-source Claude Code skills for cold email and outbound sales. Grade campaigns, export Prospeo searches, scrape Google Maps — all from Claude Code. The licence is MIT.

When your agent uses it

  • Tasks that involve Cold outreach

Example prompts

  • “t tooling — it”
  • “/cold-email-weekly-rhythm”

Requirements

  • Node.js

Workflow steps

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

  1. Run /positive-reply-scoring --campaign-id=
  2. Compare to previous campaigns' positive reply rate baselines
  3. Decide
  4. Log the result in profiles//experiments/-.json

What it can do on your machine

Read from SKILL.md and the folder at commit 25c5d85. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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

Cold Email Weekly Rhythm loads about 2.3k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 1,141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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 growthenginenowoslawski/coldoutboundskills at commit 25c5d85, republished under its MIT licence (© growthenginenowoslawski). 1,141 words, ~2,338 tokens.

Download SKILL.mdSave it as .claude/skills/cold-email-weekly-rhythm/SKILL.md (or your agent's skills folder).
name
cold-email-weekly-rhythm
description
Operational playbook for running cold email continuously. Prescribes what to do on Monday / Wednesday / Friday / biweekly / monthly / quarterly. Use this as your ongoing cadence once your first campaign is live. What separates hobbyist from top 1% operators isn't tooling — it's consistency. This skill is the schedule.

Cold Email Weekly Rhythm

Having 29 cold email skills doesn't help if you don't run them on a schedule. This is that schedule.

This is a pure playbook. No scripts, no automatic reminders. You put the rhythm on your own calendar (Step 1 below) and run the prescribed skill at the prescribed time. That's the entire system.


Step 1 (required before using this skill): Put the rhythm on your calendar

Open Google Calendar / Outlook / Apple Reminders / whatever you actually look at every day. Create these as recurring events. Copy the titles and cadences exactly.

Event titleCadence
Cold email: Monday deliverability auditEvery Monday, 9:00 am
Cold email: Wednesday positive-reply sweepEvery Wednesday, 10:00 am
Cold email: Friday campaign retrospectivesEvery Friday, 3:00 pm
Cold email: Inbox lifecycle (cancel / promote / buy)Every other Monday, 11:00 am
Cold email: Monthly spam placement test1st of each month, 10:00 am
Cold email: Quarterly experiment reviewFirst Monday of each quarter, 1:00 pm

Do not skip Step 1. The difference between hobbyist and top-1% cold email operators is that the top-1% operators actually run these tasks on their declared cadence, week after week. Your calendar is the accountability system. This skill doesn't have a built-in reminder — intentionally — because if it did and it broke, your ops would silently fail.


Monday — Deliverability audit (15 min)

Run:

bash
/email-deliverability-audit --days=7

(If using the scoped version: audit-performance.ts --campaign-ids=<active campaign ids> --days=7)

Review:

  • Fleet reply rate over last 7 days — must be ≥1% (the 1% rule). The same number retires a domain, but only once it clears the floors: 200+ sends and 30+ days of age. See /inbox-lifecycle-manager.
  • Flagged campaigns (flag_low_reply = TRUE)
  • Flagged inboxes (flag_high_bounce = TRUE)

Action:

  • If any campaign failed the 1% rule: run /deliverability-incident-response → triage decision tree
  • If bounce rate is above 2%: triage via /deliverability-incident-response. Above 3% (the autopause line): pause the offending campaign immediately, then triage
  • If everything clean: log the check in a weekly journal, close the tab

Wednesday — Positive-reply sweep (30-60 min depending on volume)

Run:

bash
/positive-reply-scoring  # on all campaigns active in the last 7 days

Review:

  • Any positive_interested or positive_soft replies — these are leads wanting to engage
  • Any positive_referral replies — these are people saying "talk to Jane instead"
  • Any negative_hostile replies — red flag, investigate

Action:

  • Respond to every positive_interested reply within 30 seconds of seeing it. Do not batch these — a reply feeling like it took minutes to return converts 3× better than one that took hours.
  • For referrals: reach out to the referred person within 24h, mention the referrer by name.
  • For hostile: apologize, remove from all lists, investigate why they were flagged for hostility (often signals bad targeting).

Time management: if you have >50 positive replies per week, you're at the scale where you should hand off to a dedicated closer/AE. Do that handoff Wednesday morning so they can work replies by Wednesday afternoon.


Friday — Campaign retrospectives (20 min per campaign)

Identify campaigns hitting their 21-day mark this week. (21 days is the minimum for reply-rate signal to stabilize.)

For each one:

  1. Run /positive-reply-scoring --campaign-id=<id>

  2. Compare to previous campaigns' positive reply rate baselines

  3. Decide:

    • Winner (positive reply rate ≥2×baseline): keep running, consider scaling (clone to more inboxes)
    • Middling (near baseline): iterate on copy or list — run /experiment-design Monday to plan the next variant
    • Loser (<50% of baseline): kill it. Document why in the experiment log.
  4. Log the result in profiles/<slug>/experiments/<YYYY-MM-DD>-<campaign>.json:

    • positive_reply_rate, reply_rate, bounce_rate
    • Your decision (keep / iterate / kill) + reasoning
    • Hypothesis for next iteration (if iterating)

Critical: do not skip the log. Over a quarter, these logs become the input for /experiment-design quarterly reviews. Without the history, you can't learn across campaigns.


Show full SKILL.md (547 more words)Show less

Every other Monday — Inbox lifecycle (30 min)

The rotation decision — what to cancel, what to promote, what to buy — comes from /inbox-lifecycle-manager. Do not eyeball the health CSV and retire whatever looks bad; that is how healthy domains get killed on an unlucky week.

Run (read-only, writes nothing):

bash
# Within /inbox-lifecycle-manager:
npx tsx scripts/plan-lifecycle.ts --goal=<your daily send goal> --out=./lifecycle-$(date +%F) --snapshot

Review plan.csv and actions.csv:

  • BURNED — under 1% reply on 200+ sends, 30+ days old. These are the real cancels.
  • KEEP_BELOW_THRESHOLD — burned but nothing warm to replace it. Buy first, cancel next week.
  • BOUNCE_FORK — bounce over 3%. Classify the codes in /deliverability-incident-response before condemning anything; it is usually the list, not the domain.
  • TOO_YOUNG / INSUFFICIENT_DATA — not judged. Leave them alone.
  • HELD — warmup is off, so reputation is unreadable. Report it; don't quietly switch warmup back on.

Action — after you have actually looked at the plan and said yes:

bash
# Within /inbox-lifecycle-manager (dry run first, always):
npx tsx scripts/apply-lifecycle.ts --actions=./lifecycle-$(date +%F)/actions.csv
npx tsx scripts/apply-lifecycle.ts --actions=./lifecycle-$(date +%F)/actions.csv --apply

Tags only. Provider subscription cancellations are a separate, explicitly approved step in small verified batches — see that skill's references/cancellation-safety.md.

If the plan reports a capacity shortfall: start a domain purchase cycle via /zapmail-domain-setup-public now. It takes ~2 weeks from purchase to sendable and 30 days before the new domains can even be judged, so you are always buying a month ahead of the need.


Monthly (1st of the month) — Spam placement test (25 min active, test runs ~20 min)

Run: the Smart Delivery spam placement test from /email-deliverability-audit:

bash
npx tsx scripts/run-spam-test.ts --campaign-id=<highest volume active campaign> --senders=100

(Will use G Suite + Office365 provider pools. 100 senders is a sweet spot — large enough for statistical signal, small enough to avoid API stalls.)

Review:

  • Overall inbox placement % — target: ≥85%
  • Spam filter triggers — which filters fired, which senders affected

Action:

  • ≥90% inbox placement: great. Keep doing what you're doing.
  • 80-90%: yellow. Look at spam-filter-details. Start fixing the highest-frequency trigger next week.
  • <80%: red. Pause the campaign, run /deliverability-incident-response, fix before sending more.

Quarterly (first Monday of each quarter) — Experiment review (90 min)

Read all experiments/*.json from the last quarter. Identify patterns:

  • Which campaigns had the highest positive reply rate?
  • Which list sources produced the best leads?
  • Which copy angles resonated (Observation → Implication? Pain? Social proof?)
  • Which ICP archetypes converted best?

Output: a 1-page Q<N> retrospective saved to profiles/<slug>/retrospectives/<YYYY>-Q<N>.md with:

  • Top 3 campaigns + what made them work
  • Bottom 3 campaigns + what to avoid
  • 3-5 hypotheses for next quarter's experiments
  • Adjust ICP in client-profile.yaml if the data suggests a different segment performs better

Use the retrospective as input to design next quarter's experiments via /experiment-design.


What to skip

You do NOT need to:

  • Check Smartlead every day (Wednesday sweep catches everything important)
  • Obsess over daily reply-rate fluctuations (wait for 7-day averages)
  • Read every positive reply in real time — set up notifications if you want immediacy, but the Wednesday sweep is the system

Daily pokes at your cold email stack are a procrastination pattern, not a performance pattern.


What to do next

This skill IS the loop. Your next action is the next calendar event on your list.

Or if you haven't run a campaign yet: skip this skill entirely. Come back after your first campaign hits the 7-day mark.

  • /email-deliverability-audit — the Monday and Monthly tasks
  • /positive-reply-scoring — the Wednesday and Friday tasks
  • /inbox-lifecycle-manager — the biweekly cancel / promote / buy decision
  • /smartlead-inbox-manager — executes the approved tag changes
  • /deliverability-incident-response — when the Monday audit flags something
  • /experiment-design — the quarterly retrospective feeds into this
  • /zapmail-domain-setup-public — when insurance pool runs low

© growthenginenowoslawski, 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 skills/cold-email-weekly-rhythm of growthenginenowoslawski/coldoutboundskills.

Open the folder on GitHubat commit 25c5d85

Compare with similar skills

Cold Email Weekly Rhythm 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.

Cold Email Weekly Rhythm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cold Email Weekly Rhythm this skillgrowthenginenowoslawski/coldoutboundskills753—~2.3kAutomated safety check: PassMIT
Cold Outbound Optimizerericosiu/ai-marketing-skills3.6k1 repos~1.7kAutomated safety check: PassMIT
Prospectingcoreyhaines31/marketingskills54k—~5kAutomated safety check: PassMIT
Sales OsromangojiberryAI/gojiberryai-sales-os139—~2kAutomated safety check: PassMIT
ProspectingCesarjoquin/Marketing-Skills2021 repos~3.8kAutomated safety check: PassMIT
Cold Outreach Personalizeraiskilloftheweek/claude-ai-skill-of-the-week149—~2.6kAutomated safety check: PassNone

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Categories

Questions about Cold Email Weekly Rhythm

What does Cold Email Weekly Rhythm do?

Operational playbook for running cold email continuously. An agent skill from growthenginenowoslawski/coldoutboundskills. Cold Email Weekly Rhythm is an agent skill from growthenginenowoslawski/coldoutboundskills. Operational playbook for running cold email continuously.

When should I use Cold Email Weekly Rhythm?

Cold Email Weekly Rhythm fits situations like: tasks that involve Cold outreach.

How do I install Cold Email Weekly Rhythm in Claude Code?

Run `npx skills add growthenginenowoslawski/coldoutboundskills --skill cold-email-weekly-rhythm -a claude-code`. Or copy the skill folder (skills/cold-email-weekly-rhythm in growthenginenowoslawski/coldoutboundskills) into .claude/skills/cold-email-weekly-rhythm in your project. Claude Code loads it when a task matches its description.

How do I install Cold Email Weekly Rhythm in Codex?

Run `npx skills add growthenginenowoslawski/coldoutboundskills --skill cold-email-weekly-rhythm -a codex`. Or copy the skill folder (skills/cold-email-weekly-rhythm in growthenginenowoslawski/coldoutboundskills) into .agents/skills/cold-email-weekly-rhythm in your project. Codex loads it when a task matches its description.

Can I use Cold Email Weekly Rhythm 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 growthenginenowoslawski/coldoutboundskills --skill cold-email-weekly-rhythm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cold-email-weekly-rhythm, .gemini/skills/cold-email-weekly-rhythm, .github/skills/cold-email-weekly-rhythm and .opencode/skills/cold-email-weekly-rhythm in your project.

What does Cold Email Weekly Rhythm need to run?

Going by SKILL.md and its folder, Cold Email Weekly Rhythm needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Cold Email Weekly Rhythm access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Cold Email Weekly Rhythm 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 Cold Email Weekly Rhythm use?

Cold Email Weekly Rhythm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cold Email Weekly Rhythm use?

About 2.3k tokens (SKILL.md is roughly 9.4k 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 Cold Email Weekly Rhythm?

Skills that share tags, products or a category with Cold Email Weekly Rhythm: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Prospecting (coreyhaines31/marketingskills, 54k stars), Sales Os (romangojiberryAI/gojiberryai-sales-os, 139 stars) and Prospecting (Cesarjoquin/Marketing-Skills, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cold Email Weekly Rhythm?

growthenginenowoslawski (a GitHub user) maintains it in growthenginenowoslawski/coldoutboundskills, which has 753 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 5, 2026.

Source: growthenginenowoslawski/coldoutboundskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.