stakeholder-communication skillA
stakeholder-communication is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Adapt analytical findings to the audience — same insight, different framing, detail level, and format depending on who will read it. Use this skill whenever producing a narrative, creating a deck, writing an executive summary, drafting a report, generating stakeholder communications, or whenever the user mentions an audience (executive, PM, engineer, data scientist, leadership team, stakeholders, decision-makers). Apply when users say things like "prepare this for leadership", "write this for th.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Skill: Stakeholder Communication Matrix ## Purpose Adapt analytical findings to the audience — same insight, different framing, detail level, and format depending on who will read it. Ensures that executives get the bottom line, PMs get the implications, engineers get the specifics, and data teams get the methodology. ## When to Use Apply this skill when producing a narrative (Storytelling agent), creating a deck (Deck Creator agent), or whenever the user specifies an audience. If no audience is specified, default to **Product Team** format. ## Instructions ### Pre-flight: Load Learnings Before executing, check `.knowledge/learnings/index.md` for relevant communication preferences: 1. **Try to read the file**: Use the Read tool on `.knowledge/learnings/index.md` 2. **If it exists**, scan for entries under these headings: - **"Communication"** - stakeholder preferences, formatting conventions - **"General"** - cross-cutting preferences that apply to all work - **"Stakeholder Preferences"** - audience-specific guidance 3. **If it doesn't exist or is empty**, skip silently and proceed with standard stakeholder matrix …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/stakeholder-communication@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/stakeholder-communication@sha256:bbffc80c76a23a5fPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ulf4h63bw6ppv3ci)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 13,831 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 14,043 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13831 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ulf4h63bw6ppv3ci GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/stakeholder-communication GET https://markdownregistry.com/api/v1/blob/bbffc80c76a23a5f68a5d6277421a65a3f0ed83524de14c1f12f36d7c276be7a
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