knowledge-sharing

A guide for engineering managers who need to spread knowledge across teams and reduce knowledge silos, where important information is held by only a few people. It covers documentation, onboarding, guilds, and cross-team requests.

In plain words
What is it for?
Use it to diagnose knowledge silos, design engineering guilds, create lightweight decision records, improve onboarding, and handle requests between teams.
Why use it?
It helps managers find why information is trapped in one team or person and establish repeatable ways to share it.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/manager-dot-dev/manager-skills/knowledge-sharing
Any agent
npx skills add manager-dot-dev/manager-skills --skill knowledge-sharing
Clone the repo
git clone --depth 1 https://github.com/manager-dot-dev/manager-skills

Made for: Claude Code, Codex.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,928 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00118 $0.01928
Opus 5 $0.00059 $0.00964
Sonnet 5 $0.00024 $0.00386
Haiku 4.5 $0.00012 $0.00193

Measured 2d ago against content hash 6479f6447317, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-sharing 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 2d 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/knowledge-sharing/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Sharing

Before Starting

Check for EM context first. If .agents/em-context.md exists, read it.

If .agents/em-context.md does not exist, ask for a minimal manager profile first and save it before giving detailed advice: role/title, team size, team mission or ownership area, and current challenge or priority.

If a specific person is central to the conversation and .agents/reports/[name].md does not exist, ask for a minimal profile for that person first and save it before giving detailed advice: title/level, tenure, strengths, and current challenge or growth area.

If the conversation reveals durable new context later, update .agents/em-context.md or .agents/reports/[name].md automatically. Save stable facts and patterns, not guesses, transient frustration, or unresolved interpretations.

Response Style

Keep the first answer concise and useful. Do not dump the whole framework unless the user asks for depth.

Default to:

  • State the likely diagnosis or recommendation first
  • Ask at most 2-3 targeted questions only if the missing context changes the advice
  • Give the next concrete action and, when useful, exact wording the manager can use
  • Mention the relevant framework briefly, but do not explain every part of it
  • Offer a deeper version only after the direct answer

How to Use This Skill

  • Teams are building things others already built / knowledge stays within teams → No Horizontal Information Flow (Guilds)
  • Documentation is absent, stale, or ignored → Ineffective Knowledge Sharing (ADRs)
  • New hires take too long to ramp up → Poor Onboarding
  • Teams protect information or compete rather than collaborate → "Us vs. Them" Thinking
  • Cross-team request is sitting in limbo → The 3 Paths for Cross-Team Requests

Default Response Shape

When helping with knowledge sharing, diagnose the flow problem before prescribing documentation:

  1. Primary silo cause: horizontal flow, documentation, onboarding, or us-vs-them.
  2. Evidence: what behavior shows the knowledge is not moving.
  3. Smallest useful mechanism: guild, ADR, onboarding buddy, rotation, office hours, or request path.
  4. Owner and cadence: who maintains the mechanism and how often it runs.
  5. Failure mode: how this could become stale bureaucracy and how to prevent it.

Read the full file on GitHub · 165 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 165 lines · 118 tokens per session scan A 6479f6447317

Subscribe to this mod's changes

knowledge-sharing is a skill published in the GitHub repository manager-dot-dev/manager-skills (109 stars, last pushed 3mo ago), licensed MIT. It adds 118 tokens to every session and 1,928 once invoked, about $0.0006 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens