MCPInstall

management-talk

Rewrite engineer-to-engineer content for engineering-org leadership (VPs, directors, PMs, release managers, execs in an engineering-savvy company) and shape it for the channel it is going to — JIRA comment, Slack post, async standup line, email, or meeting talking-points. Trigger when the user asks to write/rewrite for management / exec / VP / director / PM / release manager, asks for an "executive summary / leadership update / status update", says "make this less technical / less jargony", or asks for a slack / email / standup / meeting version of work originally written engineer-to-engineer.

Installs
4.6K
Last 24h
—
Trending rank
—
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/thananon/9arm-skills --skill management-talk
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads management-talk automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The skill is designed to translate technical engineering updates into language suitable for management audiences. It reads from JIRA tickets and can post comments back to JIRA. While it mandates human approval before posting, the reliance on external data from JIRA tickets introduces a potential surface for indirect prompt injection.
Socket PassNo alerts
Snyk WarnMEDIUM ·Risk: MEDIUM · 2 issues

SKILL.md

The instructions your agent reads when the skill is triggered.

Management Talk

Same audience and translation rules as a written status report, but shaped for the channel — JIRA comment, Slack post, async standup, email, or meeting talking-points. The audience reads code names but not code. The channel decides the length, formatting, and how much structure to leave on the page.

Use this any time engineering content needs to flow up the org, sideways into product/release, or into a non-engineering meeting — regardless of the destination.

When to invoke

  • "write something for management / exec / VP / director / PM / release manager"
  • "rewrite this for [non-eng audience]"
  • "make this non-technical" / "less techy" / "less jargony"
  • "send a slack update / standup note / email" about a piece of engineering work
  • "executive summary" / "exec summary" / "leadership update" / "status update"
  • "talking points for [meeting]" based on an engineering update

If the channel is unclear after the trigger, ask one short question — "JIRA, Slack, standup, or email?" — and stop.

Audience — what "engineering-org leadership" means

Engineering-savvy non-engineers: VPs, directors, PMs, release managers, execs in companies that ship technical products. They read product/framework names and cross-reference JIRA keys and PRs. They do not read code.

They want: what's the state, what does it mean for customers, who owns it, what's next. They do not want: how the bug works at the function level.

This is not for marketing, finance, customer-facing, or true ELI5 audiences — those need a different rewrite. Flag and confirm before producing one.

Tone

Keep. Product names, framework names, team-owned component names, JIRA keys, PR numbers, customer/workload identifiers (Tada, DeepSpeed, PyTorch, Llama-2-70B, vLLM, JIRA-12345, PR #5751). These are the bridge between engineering and leadership tracking.

Strip. Function names, file paths, struct fields, commit SHAs, code expressions, env var names, line numbers, internal data-structure jargon (tadaLaunchPrepare, tada/prim.h::syncWaitPeer, scratchBuf, 0e0a6bac). None of this is actionable to the audience.

Translate. Mechanism into one or two sentences of plain-English cause-and-effect. Not "the kernel reads from scratchBuf == NULL" but "the GPUs end up reading from an uninitialized buffer and wait forever for a signal that never arrives." Translate without lying — a race stays a race; a regression stays a regression.

Don't over-strip. Engineering-org leadership reads concept-level technical vocabulary fluently — race condition, synchronization, uninitialized buffer, fast-path, workaround, registration, queue, driver, kernel (in the GPU sense). The line is between concept exists and matters here (keep) and here's the function/struct/file/SHA (strip). Replacing "race" with "timing issue" patronizes the reader.

Bias toward active voice, concrete subjects, short paragraphs. "We found the bug. Alex wrote the fix. PR is up for review." beats "The root cause has been identified and a fix has been authored and submitted for review."

Avoid:

  • Hedging that isn't really hedging ("we believe," "appears to," "may have"). State it or don't.
  • Re-stating the obvious for thoroughness ("This bug is in Tada, which is used for GPU communication, which is important for distributed training, which...").
  • Telling leadership how to do their job ("you should prioritize," "this needs to land before X"). Give them the facts; they decide.
  • Engineering-process minutiae: bisect runs, debug iterations, GDB sessions. They care that you found it, not how. (Exception: when the process itself is the story — "we burned three weeks before realising the bisect was misleading" — then a single sentence as a learning, not a play-by-play.)

Channel shapes

Same content, different shell. Pick the shape that matches where it's going.

JIRA comment / written status report

Full structured block. Bolded section labels. Easy to scan from the ticket page.

Building blocks (use as many as fit):

  • Status / TL;DR. One bolded line. Reader can stop here and have the right answer. "Fixed pending merge." / "Root cause unknown — investigating." / "Blocked on vendor." / "Customer-visible regression in 7.2; rollback in flight."
  • Impact. Who's affected, how badly, what they see. Customer / workload / product terms, not test-suite terms. "Llama-2-70B fine-tuning hangs on every eval step" > "the test fails."
  • What broke. Short paragraph. Plain-English mechanism, one level of why, no code identifiers.
  • Why now / how it slipped through. Optional. Include when leadership will ask anyway: latent regression, CI gap, prior incomplete fix, change that landed during a freeze.
  • Owner. Person + team + their PR/branch/JIRA artifact. One link, not five.
  • Next steps. Concrete, near-term, ordered. "Code review → merge → backport to 7.2."
  • Workaround / mitigation. If customers are hitting it now, what can they do today? One sentence.
  • Risk. Optional. Real risks only — "fix touches the hot path; perf regression possible until benchmarked." Don't manufacture risk to look thorough.

Order by what matters most for this item.

Slack — channel post or DM

Single message, no walls of text. Heavy bolded section labels read as "I escaped from JIRA" — don't.

  • One bolded TL;DR as the first line.
  • 2–4 short bullets underneath: impact, owner+link, next step. Drop blocks that don't apply.
  • One link, embedded inline (JIRA-12345 / PR #5751). Not a link wall.
  • No greeting, no signoff. The channel is the context.
  • If it's a thread reply rather than a new post, lose the TL;DR — just lead with the answer.

Length target: under ~80 words for a top-level post; under ~40 for a thread reply.

Async standup note

The audience scans 10 of these in 30 seconds. Front-load the verb.

  • 1–3 lines, max.
  • Pattern: "<state> <thing>. <owner if not me>. <next>."
  • Examples:
    • "Fixed Tada hang affecting dumbModel runs (JIRA-12345). PR #5751 in review. Backport to v7.2 next."
    • "Still chasing the LLM-7B eval-step hang. Reproducer is reliable now; bisecting. No ETA yet."
  • No bullets, no bolded labels. The format is the sentence.

Email — internal exec / cross-team

Subject line is half the value.

  • Subject: the TL;DR rewritten as a noun phrase. "Tada hang in dumbModel: fix in review (JIRA-12345)."
  • Greeting: match the recipient register (Hi Sam, / Hi all,).
  • Body: the JIRA-comment shape, but as flowing paragraphs separated by blank lines rather than bolded section labels. Two or three paragraphs is plenty.
  • Sign off with the next decision point that needs the recipient's attention, if any. If none, a plain "— [Name]" is fine.

Meeting talking-points

You're going to say this, not show it.

  • Bullet list, max one short clause per bullet.
  • Order is the order you'll speak in.
  • Include the numbers/keys you want to reference out loud, in the bullet itself, so you don't fumble.
  • Skip prose. "dumbModel LLM-7B fine-tuning was hanging." / "Root cause: skipped sync in Tada fast-path." / "Alex's fix in review, PR #5751." / "Backport to v7.2 once it lands."

Source material

The input is one of:

  1. A JIRA ticket key (e.g. JIRA-12345) → fetch via GET /rest/api/3/issue/<KEY>?fields=summary,status,priority,assignee,comment plus any custom fields your instance uses for technical evaluation — usually the cleanest source of current state. The most recent substantive comment is what to reframe; don't dump the full thread.
  2. Pasted technical text → use directly.
  3. The current conversation → if you (or the user) just produced engineering content and the user now says "now in slack" / "now for the VP," reuse what's in context.

If the source is ambiguous, ask one question and stop.

Output flow

  1. Confirm the channel if it's not stated.
  2. Produce the draft as a single chat block, formatted as the channel would render it.
  3. Ask where it goes:
    • Default: print-only — the user copies it.
    • JIRA back-post: only if the user explicitly says so. Show the exact ADF payload, wait for explicit "post it" / "go ahead" / "yes," then POST /rest/api/3/issue/<KEY>/comment.
    • Never post to Slack, email, or any non-JIRA channel from this skill. Hand the draft to the user; they post it.
  4. One iteration is normal, three is a smell. If the user is on the third revision, ask what specific framing/audience assumption you're missing — don't keep tweaking blindly.

Worked example — same bug, three channels

Source (engineering JIRA comment):

Mechanism: the single-stream fast-path in tadaLaunchPrepare / tadaLaunchKernel / tadaLaunchFinish (gated on scheduler->numStreams == 1 && !plan->persistent) skipped the cross-stream event between launchStream and handle->shared->deviceStream. dumbModel hits this gate exactly. Kernel launched before deviceStream's IPC publish / scratch-buffer writes (the ones that populate scratchBuf) were visible to launchStream → scratchBuf == NULL in the kernel → stray pointer dereference → ring ready-flag read from garbage → thread spins forever.

As a JIRA comment

Status: Fixed pending merge. Bug found, fix validated, PR up for review.

Impact: LLM-7B fine-tuning on 8 GPUs would hang every time it tried to evaluate the model — blocking the entire workload. Affects customers using dumbModel (a popular framework for training large models that don't fit on a single GPU), which means most large-model fine-tuning runs on the platform were exposed.

What broke: Our GPU communication library (Tada) skipped an internal synchronization step under a specific configuration that dumbModel happens to trigger. The GPUs ended up reading from an uninitialized buffer and got stuck waiting for a signal that would never arrive. The unsafe shortcut had been in the code for months but wasn't reached by any real workload until now.

A previous fix attempt added a defensive check that hid the symptom in some paths but left the underlying race in place. This new fix removes the unsafe shortcut entirely and tightens the safety check on the device side.

Owner: Alex (Tada team). PR org/platform#5751.

Next steps: code review → merge. Customers hitting this today can disable IPC registration as a temporary workaround.

As a Slack post

Tada hang affecting dumbModel LLM-7B fine-tuning is fixed pending merge. (JIRA-12345)

  • Skipped synchronization in the comms fast-path → GPUs read uninitialized memory → hang. Latent for months; dumbModel was the first workload to hit it.
  • Owner: Alex, PR #5751 in review.
  • Workaround until merge: disable IPC registration.

As a standup note

Fixed Tada hang on dumbModel LLM-7B (JIRA-12345). Alex's PR #5751 in review. Workaround posted in the ticket; backport to v7.2 next.

What changed between channels: same diagnosis, same owner, same next step. JIRA gets every block. Slack drops "why now" and "previous fix attempt" — too much for the channel. Standup keeps just state + key + owner + next. None of them mention scratchBuf or tadaLaunchPrepare.

Rules

  • Never invent facts to make the rewrite cleaner. If the engineering source says "root cause unknown," the rewrite says "root cause unknown" — do not promote a speculation to a finding for narrative tidiness.
  • Never strip a JIRA key, PR number, or customer/workload name during de-jargoning. They're the cross-reference bridge — losing them breaks tracking.
  • Never invent owners. If the source doesn't name one, ask the user — don't guess from git blame or recent commits.
  • Get sign-off before posting to JIRA. Reuse the jira-check approval flow. Print-only output needs no approval.
  • Never post to Slack, email, or any non-JIRA channel from this skill. Hand the draft to the user; they post it.
  • Stay out of advocacy. This skill produces a status update, not a recommendation. If the user wants a recommendation memo, confirm before reframing.

FAQ

What does the management-talk skill do?

Rewrite engineer-to-engineer content for engineering-org leadership (VPs, directors, PMs, release managers, execs in an engineering-savvy company) and shape it for the channel it is going to — JIRA comment, Slack post, async standup line, email, or meeting talking-points. Trigger when the user asks to write/rewrite for management / exec / VP / director / PM / release manager, asks for an "executive summary / leadership update / status update", says "make this less technical / less jargony", or asks for a slack / email / standup / meeting version of work originally written engineer-to-engineer.

How do I install management-talk?

Run npx skills add https://github.com/thananon/9arm-skills --skill management-talk in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/management-talk/ (personal) or .claude/skills/management-talk/ (project).

Which AI agents can use management-talk?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is management-talk safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains management-talk?

It is published by thananon in thananon/9arm-skills. It has 4,623 recorded installs.

More from thananon/9arm-skills

View all →

scrutinize

thananon/9arm-skills

Outsider-perspective end-to-end review of a plan, PR, or code change. First questions intent and whether a simpler/more elegant approach would achieve the same goal, then traces the actual code path (not just the diff) to verify the change does what it claims. Output is concise, actionable, and every call carries its rationale. Trigger on /scrutinize and proactively whenever the user asks to review, audit, sanity-check, or get a second opinion on a plan, PR, diff, design doc, or proposed code change.

debug-mantra

thananon/9arm-skills

Four-mantra debugging discipline — reproduce, trace the fail path, falsify the hypothesis, cross-reference every breadcrumb. Recite the mantra block verbatim at the start of any debugging session, then apply the four steps in order before proposing any fix. Trigger on /debug-mantra and proactively whenever debugging starts — user reports a bug, says something is broken/throwing/failing, asks to debug/diagnose/investigate an issue, or pastes a stack trace or error log.

post-mortem

thananon/9arm-skills

Write the canonical engineering record of a fixed bug — root cause, mechanism, fix, validation, and how it slipped through. Engineer-audience, code identifiers welcome. Use after a debug session lands a fix, before closing the ticket. Trigger on /post-mortem, when the user says "write the post-mortem / postmortem / RCA / root cause analysis", "document this fix", "write up the root cause", "close out this bug with a writeup", or hands you a fixed-and-validated bug and asks for the writeup.

qwenchance

thananon/9arm-skills

Keeps a long Claude Code task on-track — breaks out of looping/circular thinking, watches the context budget, bounds internal reasoning, and triggers a clean handoff before the window fills. Use when the model is repeating steps, re-reading the same files, second-guessing in circles, stuck or spinning, or running a long multi-step task at risk of exhausting context. Also use when the user says it is "looping", "going in circles", "stuck", "repeating itself", or asks for a handoff before running out of context.

qwen-agent

thananon/9arm-skills

Delegate menial, well-scoped coding tasks to a cheap Qwen-backed subagent via the claude-9arm command instead of burning Claude tokens/quota. Use when the work is mechanical and low-risk — bulk renames, formatting, boilerplate, find-replace, grep-style search & summarization, reading/condensing logs or files, test/docstring/comment scaffolding, or running builds/linters/tests and reporting pass-fail. Also use when the user says "use qwen", "delegate this", "send it to 9arm/qwen", or "do this cheaply". Do NOT use for architecture, design, debugging judgment, security-sensitive edits, or anything needing this conversation's context.

Testing & QA2.4K installs

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

lark-base

open.feishu.cn

飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。

lark-drive

open.feishu.cn

飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

lark-im

open.feishu.cn

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。