Kubernetes Network Root Cause Analysis
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
A skill your agent uses when training SDRs on calls, building call frameworks, or handling common phone scenarios — a 1-minute cold call script in 5 steps, a no-show phone script, and objection…
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swan-gtm/gtm-skills cold-call-scripts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .claude/skills/cold-call-scripts && rm -rf skills-srcUse ~/.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/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .claude/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scriptsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swan-gtm/gtm-skills cold-call-scripts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .agents/skills/cold-call-scripts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .agents/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swan-gtm/gtm-skills cold-call-scripts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .cursor/skills/cold-call-scripts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .cursor/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/swan-gtm/gtm-skills.git --path skills/alex-vacca/cold-call-scripts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swan-gtm/gtm-skills cold-call-scripts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .gemini/skills/cold-call-scripts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .gemini/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install swan-gtm/gtm-skills cold-call-scriptsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .github/skills/cold-call-scripts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .github/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install swan-gtm/gtm-skills cold-call-scripts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/alex-vacca/cold-call-scripts .opencode/skills/cold-call-scripts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cold-call-scripts" agent skill from https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/cold-call-scripts into .opencode/skills/cold-call-scripts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-scripts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cold-call-scriptsA skill your agent uses when training SDRs on calls, building call frameworks, or handling common phone scenarios — a 1-minute cold call script in 5 steps, a no-show phone script, and objection…
Cold Call Scripts is an agent skill from swan-gtm/gtm-skills. Use this skill when training SDRs on calls, building call frameworks, or handling common phone scenarios — a 1-minute cold call script in 5 steps, a no-show phone script, and objection responses.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/objections.md`).
It sits in DevOps & Cloud, covering Incident response. The repository describes itself as: Open, production-grade GTM skills for AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit 67abd04. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
frontal.soFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cold Call Scripts loads about 665 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 154 words of instructions outside code blocks.
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.
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.
The full file from swan-gtm/gtm-skills at commit 67abd04, republished under its MIT licence (© swan-gtm). 154 words, ~665 tokens.
.claude/skills/cold-call-scripts/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.For objection responses, see references/objections.md.
| Step | Script | Purpose |
|---|---|---|
| 1 | "Hey {{firstName}}, this is [Name] from Frontal—I know I'm catching you out of the blue." | Pattern interrupt |
| 2 | "Mind if I take 30 seconds to tell you why I called? Then you can decide if it's worth continuing." | Earn permission |
| 3 | "I work with [ICP] who are struggling with [problem]." | Establish relevance |
| 4 | "We just helped [similar company] achieve [result]." | Social proof |
| 5 | "Is that something you're dealing with right now?" | Open conversation |
"Hey Sarah, this is Mike from Frontal—I know I'm catching you out of the blue.
Mind if I take 30 seconds to tell you why I called? Then you can decide if it's worth continuing.
I work with B2B SaaS companies doing $5-20M who are struggling with inconsistent pipeline.
We just helped a company similar to yours book 40+ qualified meetings per month.
Is pipeline predictability something you're dealing with right now?""Hey {{firstName}}, it's [Name] from Frontal.
We had a call scheduled for [time]—wanted to make sure everything's okay.
No worries if something came up. Would [alternative time] work better?"Key: No guilt, assume good intent, offer easy reschedule.
"Hey {{firstName}}, [Name] from Frontal.
Quick message—I work with [ICP] on [problem].
Thought it might be relevant given [trigger/observation].
I'll shoot you an email with some times. Talk soon."| Skill | Why |
|---|---|
sdr-outbound-rules | Apply same writing rules to scripts |
cold-email-4-sequence | Coordinate calls with email sequence |
buying-signals-6 | Use signals in Step 3 |
linkedin-campaign-complete | Multi-channel coordination |
Adapt the 1-minute script for selling marketing automation to CMOs.Write a voicemail script for following up after a website visit.How do I handle "we already have a solution" for CRM software?Part of Frontal — free, open GTM skills for your AI agent. Browse the library →
© swan-gtm, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/alex-vacca/cold-call-scripts of swan-gtm/gtm-skills.
Open the folder on GitHubat commit 67abd04
Cold Call Scripts 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cold Call Scripts this skillswan-gtm/gtm-skills | 171 | — | ~665 | Automated safety check: Pass | MIT | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| UModel Root Cause Analysisalibaba/UnifiedModel | 415 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Learningskortix-ai/suna | 20k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Oncallpigweed-project/pigweed | 548 | — | ~992 | Automated safety check: Pass | Apache-2.0 | |
| Loop Triage Reportcobusgreyling/loop-engineering | 11k | — | ~500 | Automated safety check: Pass | MIT |
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
kortix-ai/suna
The project's episodic memory: a timestamped ledger of rules paid for with real outages and near-misses, one entry per incident.
pigweed-project/pigweed
Pigweed oncall rotation runbooks and maintenance workflows (such as rolling CIPD client tools for b/315378787).
cobusgreyling/loop-engineering
Turns CI failures, open issues, recent commits and chat threads into a prioritized markdown report that an automation loop can act on without inventing architecture work.
openclaw/clawhub
Investigates incidents and production problems with hypothesis-driven debugging, queries Axiom observability data when available, and keeps secrets out of commands and output.
swan-gtm/gtm-skills
Annual and quarterly revenue plan construction, top-down vs bottoms-up reconciliation, plan versioning, stretch goal handling, and FP&A-RevOps collaboration for B2B revenue teams.
swan-gtm/gtm-skills
A skill your agent uses when setting up AI-powered personalization, building Clay or lemlist workflows, or automating prospect research — 6 AI personalization prompts (lemlist style) plus 2 email…
swan-gtm/gtm-skills
A skill your agent uses when a list of people already exists and someone needs to know who on it is worth contacting — event or webinar attendees, registrants, a prospecting export, a CRM segment, a…
swan-gtm/gtm-skills
A skill your agent uses when you need to know what people are saying about a brand across the web and social — "monitor brand mentions", "what are people saying about [brand] this week", "run a…
swan-gtm/gtm-skills
Use this skill before staging a prospect and before drafting any first touch, when a segment has gone silent, and when deciding whether an account is genuinely cold.
swan-gtm/gtm-skills
Use this skill on a monthly cadence to detect champions and heavy users of your paying customers who changed jobs, verify the move against live LinkedIn data, score the new company, and surface…
Categories
A skill your agent uses when training SDRs on calls, building call frameworks, or handling common phone scenarios — a 1-minute cold call script in 5 steps, a no-show phone script, and objection…. Cold Call Scripts is an agent skill from swan-gtm/gtm-skills. Use this skill when training SDRs on calls, building call frameworks, or handling common phone scenarios — a 1-minute cold call script in 5 steps, a no-show phone script, and objection responses.
Cold Call Scripts fits situations like: training SDRs on calls; building call frameworks; handling common phone scenarios — a 1-minute cold call script in 5 steps; A no-show phone script.
Run `npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a claude-code`. Or copy the skill folder (skills/alex-vacca/cold-call-scripts in swan-gtm/gtm-skills) into .claude/skills/cold-call-scripts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -a codex`. Or copy the skill folder (skills/alex-vacca/cold-call-scripts in swan-gtm/gtm-skills) into .agents/skills/cold-call-scripts in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add swan-gtm/gtm-skills --skill cold-call-scripts -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-call-scripts, .gemini/skills/cold-call-scripts, .github/skills/cold-call-scripts and .opencode/skills/cold-call-scripts in your project.
SKILL.md names no scripts, command-line tools or credentials: Cold Call Scripts is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: frontal.so. This is read from the text; nothing was executed.
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.
Cold Call Scripts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 665 tokens (SKILL.md is roughly 2.7k 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 505 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cold Call Scripts: Kubernetes Network Root Cause Analysis (kubeshark/kubeshark, 12k stars), UModel Root Cause Analysis (alibaba/UnifiedModel, 415 stars), Learnings (kortix-ai/suna, 20k stars) and Oncall (pigweed-project/pigweed, 548 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
swan-gtm (a GitHub organization) maintains it in swan-gtm/gtm-skills, which has 171 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 8, 2026.
Source: swan-gtm/gtm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.