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announcement-board

Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill announcement-board

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

100/100

Supported Platforms

Universal

Our assessment of announcement-board

announcement-board scores 100/100 on our quality scale, 8th of 597 Data & Analytics skills we index (top 2%).

Its SKILL.md is 13 KB long, well organised into 19 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.

With 47,306 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so announcement-board is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

announcement-board compared with similar skills

announcement-board has the highest quality score among these 4 similar skills, though 1 alternative has been updated more recently.

SkillScoreStarsUpdatedFormat
announcement-board (this skill)by sickn3310047.3k1d agoSKILL.md
claude-memby thedotmack10097.5ktodayCLAUDE.md
algorithmic-artby anthropics100177.9k15d agoSKILL.md
pptxby anthropics100177.9k15d agoSKILL.md
designby nextlevelbuilder100133.6k4d agoSKILL.md

Frequently asked questions

How do I install announcement-board?
Run npx skills add sickn33/agentic-awesome-skills --skill announcement-board. The install tabs above show the steps for each supported agent.
Which AI agents does announcement-board work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is announcement-board safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is announcement-board still maintained?
The repository was last updated yesterday, so announcement-board is actively maintained.

name: announcement-board description: 'Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.' category: business risk: safe source: self source_type: self date_added: '2026-09-26' author: WHOISABHISHEKADHIKARI tags:

  • sme
  • business
  • operations
  • database
  • csv
  • notion
  • sql
  • engage tools: [] source_repo: WHOISABHISHEKADHIKARI/sme-ops-system-builder

Announcement Board

What it is: News distribution.

Overview

Works out the smallest useful Announcement Board setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 6: Engage. Fits: Starter stage. Table code: n/a.

When to Use This Skill

  • announcement board
  • company news feed
  • notice board
  • internal announcements

Also use it when the user says "news distribution", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: Who needs to read your announcements?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Audience - Who reads these? / Whole company or a team? / Any external readers?
  • Content - What gets posted? / Announcements or both? / Attachments used?
  • Approval - Who writes them? / Approval needed? / Scheduled posts?
  • Current process - How do you share news now? / Email, chat or both? / What gets missed?
  • Outcome - What do you need? / A board, a schedule or archives?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

module: announcement-board
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Audience": null
  "Content": null
  "Approval": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking

Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Publish in one place and keep an expiry date, so old announcements stop looking current. Target the audience rather than broadcasting.

Why this one: Announcement boards fail from clutter, not from missing posts. An expiry date and a clear owner keep the board readable.

Workflow: Draft → Approval → Publish → Read or acknowledged → Expiry

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no connection. For requested workspace changes, follow the shared contract: verify actual tool access and the target before writing. A user saying "connected" is not tool evidence. Never ask for a Notion password or token.

For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user requests a workbook. A CSV carries no types, so after it, name the columns that need a number, date or currency format applied.

Announcement Title,Acknowledged By,Ann ID,Author,Category,Department,Expiry Date,Priority,Publish Date,Status,Summary,Target Audience,Views
Office closed on 15th,"Example Person 1, Example Person 2",,Example Author,Company,Delivery,2026-01-15,Low,2026-01-15,Published,Office closed on the 15th for the public holiday.,All employees,184
CREATE TABLE announcement_board (
  announcement_title VARCHAR(255),
  acknowledged_by VARCHAR(255),
  ann_id SERIAL PRIMARY KEY,
  author VARCHAR(255),
  category VARCHAR(100) NOT NULL,
  department VARCHAR(255),
  expiry_date DATE NOT NULL,
  priority VARCHAR(100) NOT NULL,
  publish_date DATE NOT NULL,
  status VARCHAR(100) NOT NULL,
  summary TEXT,
  target_audience VARCHAR(255),
  views VARCHAR(255),
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_announcement_board_status ON announcement_board (status);
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Announcement Board",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Announcement Title": { "type": "string" },
      "Acknowledged By": { "type": "string" },
      "Ann ID": { "type": "integer" },
      "Author": { "type": "string" },
      "Category": { "type": "string" },
      "Department": { "type": "string" },
      "Expiry Date": { "type": "string", "format": "date" },
      "Priority": { "type": "string" },
      "Publish Date": { "type": "string", "format": "date" },
      "Status": { "type": "string" },
      "Summary": { "type": "string" },
      "Target Audience": { "type": "string" },
      "Views": { "type": "string" }
  },
  "required": [
      "Category",
      "Expiry Date",
      "Priority",
      "Publish Date",
      "Status"
  ]
}
| CSV column | Notion property | Set after import |
|---|---|---|
| Announcement Title | Title | Use as the database title |
| Acknowledged By | Text | Leave as Text |
| Ann ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Author | Text | Leave as Text |
| Category | Select (add options after import) | Convert to Select, add options: "Company", "Department", "Team", "Location", "Role" |
| Department | Text | Leave as Text |
| Expiry Date | Date | Convert to Date |
| Priority | Select (add options after import) | Convert to Select, add options: "Low", "Medium", "High", "Urgent" |
| Publish Date | Date | Convert to Date |
| Status | Select (add options after import) | Convert to Select, add options: "Draft", "Scheduled", "Published", "Archived" |
| Summary | Text | Leave as Text |
| Target Audience | Text | Leave as Text |
| Views | Text | Leave as Text |

The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date, and anything pointing at another table stays relation.

Field Reference

| # | Field | Type | SQL | JSON Schema | Notion | CSV example | |---:|---|---|---|---|---|---| | 1 | Announcement Title | text | VARCHAR(255) | string | Text | Office closed on 15th | | 2 | Acknowledged By | text | VARCHAR(255) | string | Text | Example Person 1, Example Person 2 | | 3 | Ann ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) | | 4 | Author | text | VARCHAR(255) | string | Text | Example Author | | 5 | Category | select | VARCHAR(100) | string | Select (add options after import) | Company | | 6 | Department | text | VARCHAR(255) | string | Text | Delivery | | 7 | Expiry Date | date | DATE | string, format: date | Date | 2026-01-15 | | 8 | Priority | select | VARCHAR(100) | string | Select (add options after import) | Low | | 9 | Publish Date | date | DATE | string, format: date | Date | 2026-01-15 | | 10 | Status | select | VARCHAR(100) | string | Select (add options after import) | Published | | 11 | Summary | long_text | TEXT | string | Text | Office closed on the 15th for the public holiday. | | 12 | Target Audience | text | VARCHAR(255) | string | Text | All employees | | 13 | Views | text | VARCHAR(255) | string | Text | 184 |

Select Options

Category

Company | Department | Team | Location | Role

Priority

Low | Medium | High | Urgent

Status

Draft | Scheduled | Published | Archived

Relations

Link fields: none

Examples

Prompt

Company news goes out in chat and gets lost in a week.

Context first - one question per message, nothing already answered:

Q: Audience? A: Everyone.

Q: Approval? A: HR approves the important ones.

Q: Where do you post now? A: A chat channel.

Recommended next step - offered, not built:

Publish in one place and keep an expiry date, so old announcements stop looking current. Target the audience rather than broadcasting.

Workflow: Draft → Approval → Publish → Read or acknowledged → Expiry

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not send email or chat messages for you.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be r

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars47.3k
CategoryData
Updated1d ago
Forks6.9k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions