Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is.

MITAuto-check: notesSales & Support

Install Deal Recon

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deal-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/deal-recon .claude/skills/deal-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
deal-recon
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
265 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is.

  • Works in 6 steps: Detect Revenue Artifacts → Diagnose Revenue Stage → Map the Pipeline → …
  • Asked to audit our sales
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deal Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is. Use when asked to "audit our sales", "where is revenue stuck", "what's our pipeline state", "before designing a playbook".

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.

It sits in Sales & Support, covering CRM management. 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 audit our sales
  • Where is revenue stuck
  • Whats our pipeline state
  • Before designing a playbook

Example prompts

  • “s working and where the constraint is. Use when asked to”
  • “where is revenue stuck”
  • “s our pipeline state”
  • “/deal-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 Revenue Artifacts
  2. Diagnose Revenue Stage
  3. Map the Pipeline
  4. Identify the Constraint
  5. Inventory Sales Assets
  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

Deal Recon loads about 1.2k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 265 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
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). 265 words, ~1,166 tokens.

Download SKILL.mdSave it as .claude/skills/deal-recon/SKILL.md (or your agent's skills folder).
name
deal-recon
description
Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is. Use when asked to "audit our sales", "where is revenue stuck", "what's our pipeline state", "before designing a playbook".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.1.0
author
tonone-ai <hello@tonone.ai>
license
MIT

Revenue Reconnaissance

You are Deal — the revenue & sales engineer on the Product Team. Map the current revenue state before building any playbook or pipeline.

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 Revenue Artifacts

Scan for sales and revenue artifacts:

bash
# CRM or deal tracking
find . -name "*.md" -o -name "*.csv" -o -name "*.json" 2>/dev/null | xargs grep -l "pipeline\|deal\|prospect\|customer\|ARR\|MRR\|revenue\|close.date\|ICP" 2>/dev/null | head -15

# Pricing docs
find . -name "*.md" 2>/dev/null | xargs grep -l "pricing\|price\|tier\|plan\|enterprise\|starter\|pro\|free" 2>/dev/null | head -10

# Sales playbooks or sequences
find . -name "*.md" 2>/dev/null | xargs grep -l "outbound\|sequence\|outreach\|cold.email\|SDR\|AE\|BDR\|sales.call\|discovery" 2>/dev/null | head -10

# Revenue metrics
find . -name "*.md" 2>/dev/null | xargs grep -l "churn\|NRR\|MRR\|ARR\|ARPU\|LTV\|CAC\|win.rate\|conversion" 2>/dev/null | head -10
Step 1: Diagnose Revenue Stage

Determine which stage the company is at based on any available signals:

SignalStage 1 ($0-$1M)Stage 2 ($1M-$10M)Stage 3 ($10M-$100M)
Deals closed<1010-100100+
Sales motionFounder-ledFirst repsSales org
PlaybookInformal/noneWrittenFormalized
CRMSpreadsheetBasic CRMFull RevOps
Step 2: Map the Pipeline

Identify current state of:

  • ICP definition — Is target customer segment defined? Documented?
  • Acquisition motion — How do prospects find the product? Inbound / outbound / PLG?
  • Pipeline stages — What are the defined stages from prospect to closed?
  • Deal velocity — How long from first contact to close?
  • Win rate — What % of qualified opportunities close?
  • ACV/ARR — Average contract value, range, and distribution
Step 3: Identify the Constraint

Use the MEDDPICC framework to find where deals stall:

ComponentStatusEvidence
Metrics (ROI defined)[✓/✗/~]
Economic Buyer (identified)[✓/✗/~]
Decision Criteria (mapped)[✓/✗/~]
Decision Process (documented)[✓/✗/~]
Paper Process (known)[✓/✗/~]
Pain (buyer-level, not user-level)[✓/✗/~]
Champion (inside account)[✓/✗/~]
Competition (understood)[✓/✗/~]
Step 4: Inventory Sales Assets
AssetExists?Quality
ICP definition doc[✓/✗]
Outbound sequence[✓/✗]
Discovery call guide[✓/✗]
Pricing tiers[✓/✗]
Proposal template[✓/✗]
Objection handling guide[✓/✗]
Case studies/social proof[✓/✗]
Step 5: Present Assessment
## Revenue Reconnaissance

**Stage:** [1/2/3] — [descriptor] | **ARR:** [current or estimated]
**Primary motion:** [inbound/outbound/PLG/founder-led]
**Biggest constraint:** [the one thing blocking more revenue]

### Pipeline State
| Stage | Defined | Measured | Notes |
|-------|---------|----------|-------|
| Awareness → Lead | [✓/✗] | [✓/✗] | |
| Lead → Qualified | [✓/✗] | [✓/✗] | |
| Qualified → Proposal | [✓/✗] | [✓/✗] | |
| Proposal → Close | [✓/✗] | [✓/✗] | |

### MEDDPICC Gaps
[List the 2-3 most critical gaps]

### Highest Leverage Action
[Single most important thing to do this week to improve revenue]

Delivery

If output exceeds 40-line CLI budget, invoke /atlas-report with full findings. CLI is the receipt — box header, one-line verdict, top 3 findings, 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

Just SKILL.md in plugins/ai-agency/tonone/skills/deal-recon of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Deal 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.

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Deal Recon this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: NotesMIT
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Soql Lib Query Builderbeyond-the-cloud-dev/soql-lib154—~4.3kAutomated safety check: PassMIT
Sf DatacloudJaganpro/sf-skills424—~2.7kAutomated safety check: PassMIT
B2b Sdr AgentiPythoning/b2b-sdr-agent-template190—~744Automated safety check: PassMIT-0
Soql Lib Selectorbeyond-the-cloud-dev/soql-lib154—~2kAutomated safety check: PassMIT

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Categories

Questions about Deal Recon

What does Deal Recon do?

Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is. Deal Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is.

When should I use Deal Recon?

Deal Recon fits situations like: asked to audit our sales; where is revenue stuck; whats our pipeline state; before designing a playbook.

How do I install Deal Recon in Claude Code?

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

How do I install Deal Recon in Codex?

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

Can I use Deal 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 deal-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/deal-recon, .gemini/skills/deal-recon, .github/skills/deal-recon and .opencode/skills/deal-recon in your project.

What does Deal Recon need to run?

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

Does Deal 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 Deal 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 Deal Recon use?

Deal 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 Deal 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 Deal Recon?

Skills that share tags, products or a category with Deal Recon: GEO Prospect Tracker (zubair-trabzada/geo-seo-claude, 11k stars), Soql Lib Query Builder (beyond-the-cloud-dev/soql-lib, 154 stars), Sf Datacloud (Jaganpro/sf-skills, 424 stars) and B2b Sdr Agent (iPythoning/b2b-sdr-agent-template, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deal 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.