agent-supply-chain-newsletter

name: agent-supply-chain-newsletter description: Generate the Agent Supply Chain newsletter by researching team activity on GitHub and Confluence, then creating a Confluence draft and Gmail draft argument-hint: "<period e.g. 'February-March 2026'>" model: sonnet

Generate the Agent Supply Chain newsletter for the period $ARGUMENTS by researching what team members accomplished on GitHub and Confluence, then producing both a Confluence blog post draft and a Gmail draft.

Step 1: Gather team members

Fetch the current list of agent-supply-chain team members from GitHub:

gh api orgs/DataDog/teams/agent-supply-chain/members --paginate --jq '.[].login'

Ask the user if any members should be excluded (e.g. people who moved teams).

Step 2: Read past newsletters for format reference

1. Search for the latest blog posts in the ASC1 Confluence space:
   • mcp__claude_ai_Atlassian__searchConfluenceUsingCql with cql: type = "blogpost" AND space = "ASC1" ORDER BY created DESC (limit 3)
2. Read the most recent newsletter with mcp__claude_ai_Atlassian__getConfluencePage (contentFormat: markdown, contentType: blog) to match its structure and tone.

The newsletter format is:

• Header: greeting, team links (ASC1, ABLD, BARX, ADX spaces), OKR link, support channel link
• "What's new?" section organized by sub-team (Agent Developer Experience, Agent Build, Agent Delivery)
• Each item has: a short title, quantified impact (time saved, percentage improvement, count), and links to PRs or docs
• "Did you know?" section with one fun/useful tip
• Footer: link to all newsletters, support channel reminder

Step 3: Research GitHub activity

For each team member, launch background agents (use run_in_background: true) to search merged PRs during the period. Split into batches of ~8 members per agent to parallelize.

Each agent should run, for every user:

# PRs in datadog-agent
gh pr list --repo DataDog/datadog-agent --author USERNAME --state merged --search "merged:START_DATE..END_DATE" --limit 50 --json title,url,mergedAt,labels

# PRs across the DataDog org (catches buildimages, k8s-ops, integrations-core, etc.)
gh search prs --author USERNAME --owner DataDog --merged --limit 20 --json repository,title,url -- "merged:START_DATE..END_DATE"

Each agent should return a summary per user, grouped thematically (build improvements, CI/CD, new features, bug fixes, etc.). Skip trivial PRs (version bumps, dependency updates). Focus on items that impact teams outside Agent Supply Chain.

Step 4: Research Confluence activity

Launch a background agent to search for relevant documentation created during the period:

mcp__claude_ai_Atlassian__searchConfluenceUsingCql

With CQL queries:

• space = "ASC1" AND lastModified >= "START_DATE" AND lastModified <= "END_DATE" ORDER BY lastModified DESC (limit 25)
• space = "ADX" AND lastModified >= "START_DATE" AND lastModified <= "END_DATE" ORDER BY lastModified DESC (limit 25)

Identify RFCs, design docs, operational reports, and guides that are newsletter-worthy.

Step 5: Synthesize and write the newsletter

Apply the newsletter guide's filter: "Is this information impacting a team outside of the Agent Supply Chain group?" Only include items where the answer is yes.

For each item:

• Provide a quantifiable improvement (time saved, percentage change, cost reduction) when available
• Link to the relevant PR, Confluence page, or documentation
• Keep descriptions concise (2-4 sentences max per item)

Group items under:

1. Agent Developer Experience (CI speed, developer tools, workflows, open source)
2. Agent Build (Bazel migration, build system, platform support)
3. Agent Delivery (releases, deployments, registries, security)

End with a "Did you know?" section highlighting one interesting tool, feature, or tip.

Step 6: Create outputs

6a. Confluence blog post draft

Use mcp__claude_ai_Atlassian__createConfluencePage with:

• cloudId: datadoghq.atlassian.net
• spaceId: 4662624793 (ASC1 space)
• title: <Period> - Agent Supply Chain Monthly Update
• contentType: blog
• status: draft
• contentFormat: markdown

6b. Gmail draft

Use mcp__claude_ai_Gmail__gmail_create_draft with:

• to: agent-community@datadoghq.com
• subject: <Period> - Agent Supply Chain Monthly Update
• contentType: text/html
• Rich HTML body matching the Confluence content

Step 7: Present results

Return to the user:

1. Links to both the Confluence draft and Gmail draft
2. A bullet-point summary of the sections covered
3. Remind them to:
   • Review both outputs for accuracy
   • Send the Gmail to themselves first to verify formatting
   • Schedule the final send between 2-4pm CET, not on a Friday
   • Ask for review in #agent-devx-private / from Damien Desmarets before publishing