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Agent skill

Surge Recon

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state.

MITAuto-check: notes

Install Surge Recon

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill surge-recon -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace surge-recon --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/surge-recon .claude/skills/surge-recon && 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
surge-recon
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
270 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state.

  • Works in 6 steps: Detect Environment → Map the Acquisition Funnel → Inventory Onboarding Flow → …
  • Asked to whats our growth state
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Surge Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Use when asked to "what's our growth state", "audit the funnel", "what growth experiments have we run", "acquisition channel inventory", or before designing new growth experiments.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to whats our growth state
  • Audit the funnel
  • What growth experiments have we run
  • Acquisition channel inventory

Example prompts

  • “s our growth state”
  • “audit the funnel”
  • “what growth experiments have we run”
  • “/surge-recon”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Map the Acquisition Funnel
  3. Inventory Onboarding Flow
  4. Inventory Growth Experiments
  5. Assess Growth Health
  6. Present Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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

Surge Recon loads about 1.2k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 270 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 270 words, ~1,167 tokens.

Download SKILL.mdSave it as .claude/skills/surge-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
surge-recon
description
Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Use when asked to "what's our growth state", "audit the funnel", "what growth experiments have we run", "acquisition channel inventory", or before designing new growth experiments.
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Growth Reconnaissance

You are Surge — the growth engineer on the Product Team. Map the current growth state before running experiments or building playbooks.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

Scan for growth and analytics artifacts:

bash
# Onboarding flows
find . -name "*.tsx" -o -name "*.jsx" -o -name "*.vue" 2>/dev/null | xargs grep -l "onboard\|welcome\|getting.started\|first.step" 2>/dev/null | head -10

# Referral and growth code
find . -name "*.ts" -o -name "*.tsx" -o -name "*.py" 2>/dev/null | xargs grep -l "referral\|invite\|viral\|growth\|experiment\|ab.test\|feature.flag" 2>/dev/null | head -15

# Growth docs
find . -name "*.md" | xargs grep -l "funnel\|activation\|retention\|churn\|PLG\|growth\|experiment\|referral" 2>/dev/null | head -15

# Email/notification infra
find . -name "*.ts" -o -name "*.py" 2>/dev/null | xargs grep -l "sendgrid\|resend\|postmark\|brevo\|email\|notification\|push" 2>/dev/null | head -10
Step 1: Map the Acquisition Funnel

Identify each stage and its current state:

StageChannel / MechanismTracked?Notes
Awareness[SEO / paid / word-of-mouth / etc.][✓/✗]
Acquisition[sign-up flow, landing page][✓/✗]
Activation[first value moment][✓/✗]
Retention[D7/D30 return mechanism][✓/✗]
Revenue[paywall, upgrade, expansion][✓/✗]
Referral[invite flow, word-of-mouth loop][✓/✗]
Step 2: Inventory Onboarding Flow

Walk the onboarding sequence:

  • Entry point — where does a new user first land?
  • Steps to activation — list each screen/step in order
  • Time-to-value estimate — how many steps before the user gets their first win?
  • Drop-off points — where does the flow get long or unclear?
  • Aha moment — is there a defined "aha moment"? Is it instrumented?
Step 3: Inventory Growth Experiments

Scan for past or current experiments:

  • A/B tests — feature flags, test variants, experiment configs
  • Growth playbooks — retention sequences, win-back emails, push notification strategies
  • PLG elements — freemium tier, self-serve upgrade, viral invite loop
  • Referral mechanics — invite codes, share links, referral rewards
Step 4: Assess Growth Health
DimensionStatusNote
Aha moment defined & tracked[✓/✗/~]
Activation rate measured[✓/✗/~]
D7/D30 retention tracked[✓/✗/~]
Email/notification lifecycle[✓/✗/~]
Referral loop exists[✓/✗/~]
Upgrade path instrumented[✓/✗/~]
Step 5: Present Assessment
## Growth Reconnaissance

**Acquisition:** [primary channel] | **Activation:** [aha moment or UNDEFINED]
**Retention mechanism:** [email / push / in-app / NONE] | **Referral loop:** [✓/✗]

### Funnel State
| Stage       | Mechanism              | Instrumented |
|-------------|------------------------|--------------|
| Acquisition | [channel]              | [✓/✗] |
| Activation  | [step N]               | [✓/✗] |
| Retention   | [mechanism]            | [✓/✗] |
| Revenue     | [upgrade trigger]      | [✓/✗] |
| Referral    | [loop or none]         | [✓/✗] |

### Onboarding Steps
[step 1] → [step 2] → ... → [aha moment]
Total steps to value: [N] | Time estimate: [~X minutes]

### Growth Experiments Run
- [experiment name] — [hypothesis] — [result or UNKNOWN]

### Biggest Lever
[The single highest-impact growth change visible from the recon]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/surge-recon of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Surge Recon 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.

Surge Recon compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Surge Recon this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: NotesMIT
Onboardalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT
Scanwshobson/agents40k—~2.2kAutomated safety check: PassMIT
Codebase Onboardingaffaan-m/ECC277k3 repos~2kAutomated safety check: PassMIT
Onboardingsickn33/agentic-awesome-skills47k1 repos~1.8kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.5kAutomated safety check: PassMIT

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Questions about Surge Recon

What does Surge Recon do?

Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Surge Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state.

When should I use Surge Recon?

Surge Recon fits situations like: asked to whats our growth state; audit the funnel; what growth experiments have we run; acquisition channel inventory.

How do I install Surge Recon in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill surge-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/surge-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/surge-recon in your project. Claude Code loads it when a task matches its description.

How do I install Surge Recon in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill surge-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/surge-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/surge-recon in your project. Codex loads it when a task matches its description.

Can I use Surge Recon 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 jeremylongshore/tons-of-skills-marketplace --skill surge-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/surge-recon, .gemini/skills/surge-recon, .github/skills/surge-recon and .opencode/skills/surge-recon in your project.

What does Surge Recon need to run?

SKILL.md names no scripts, command-line tools or credentials: Surge Recon is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Surge Recon 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 Surge Recon safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Surge Recon use?

Surge Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Surge Recon 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 Surge Recon?

Skills that share tags, products or a category with Surge Recon: Onboard (alirezarezvani/claude-skills, 28k stars), Scan (wshobson/agents, 40k stars), Codebase Onboarding (affaan-m/ECC, 277k stars) and Onboarding (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Surge Recon?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.