productplan-customer-facing

productplan-customer-facing is a skill for Claude Code, Codex from olgasafonova/productplan-mcp-server. It costs 47 tokens per session (1,288 once invoked), scanned A, original, MIT.

Instructions for creating customer-facing roadmap views and launch timelines from ProductPlan, a tool for planning and presenting product releases.

In plain words
What is it for?
Use it to answer questions about upcoming, recently released, or planned features and to prepare timelines for sales or customer-success calls.
Why use it?
Roadmap data can be too detailed or technical for customer conversations. These instructions explain how to find launches, release dates, roadmap lanes, and high-level themes to share clearly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to answer questions about upcoming, recently released, or planned features and to prepare timelines for sales or customer-success calls.

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Install with agentmods
npx agentmods add skills/olgasafonova/productplan-mcp-server/productplan-customer-facing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add olgasafonova/productplan-mcp-server --skill productplan-customer-facing
Clone the repo
git clone --depth 1 https://github.com/olgasafonova/productplan-mcp-server

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for productplan-customer-facing

README.md
[![agentmods](https://agentmods.dev/badge/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing/github.svg)](https://agentmods.dev/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing)
Your own site
<a href="https://agentmods.dev/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing"><img src="https://agentmods.dev/badge/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for productplan-customer-facing

Your own site · 80×15
<a href="https://agentmods.dev/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing"><img src="https://agentmods.dev/badge/skills/olgasafonova/productplan-mcp-server/productplan-customer-facing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.01288
Opus 5 $0.00023 $0.00644
Sonnet 5 $0.00009 $0.00258
Haiku 4.5 $0.00005 $0.00129

Measured 10d ago against content hash 5fa6335bb117, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

productplan-customer-facing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/productplan-customer-facing/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ProductPlan for Sales & Customer Success

Customer-ready roadmap views and release timelines.

Quick Answers for Customer Calls

"What's coming soon?"

  1. Call list_launches to see upcoming releases
  2. Filter for launches in the next 30-90 days
  3. Present as a timeline customers can understand

"When will feature X be available?"

  1. Call get_roadmap_complete for the relevant product
  2. Search bars for the feature name
  3. Report the end_date as the expected availability

"What did you recently release?"

  1. Call list_launches
  2. Filter for completed launches
  3. Summarize recent releases with key highlights

"What's on the roadmap for this year?"

  1. Call get_roadmap_complete for the product
  2. Summarize features by quarter
  3. Present high-level themes, not granular details

Roadmap Views

Get product roadmap overview

  1. Call list_roadmaps to find the right product
  2. Call get_roadmap_complete with roadmap_id
  3. Format as customer-friendly timeline

View by lane/category

Lanes represent categories (e.g., "Platform", "Integrations", "UX"):

  1. Call get_roadmap_lanes to see categories
  2. Call get_roadmap_bars to get features
  3. Group features by lane for themed presentations

Key milestones

Call get_roadmap_milestones to get major dates:

  • Beta releases
  • GA launches
  • Conference announcements

Launch Information

Upcoming launches

Call list_launches for all scheduled releases.

Key fields for customers:

  • Launch name
  • Target date
  • Status (on track, delayed)

Launch details

Call get_launch with launch_id for:

  • Full description
  • Included features
  • Release notes draft

Customer Feedback Loop

Check if idea exists

  1. Call list_ideas
  2. Search for the customer's request
  3. If found, share current status and vote count

Log customer request

Call manage_idea with action="create", title, description to capture:

  • Feature requests from calls
  • Enhancement suggestions
  • Pain points mentioned

Read the full file on GitHub · 194 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 194 lines · 47 tokens per session scan A 5fa6335bb117

Subscribe to this mod's changes

productplan-customer-facing is a skill published in the GitHub repository olgasafonova/productplan-mcp-server (3 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,288 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.