agent-supply-chain-newsletter
SkillDocs & knowledgeLets your agent research team activity on GitHub and Confluence, then draft a newsletter page and email draft.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the agent-supply-chain-newsletter skill
About this capability
Generate the Agent Supply Chain newsletter by researching team activity on GitHub and Confluence, then creating a Confluence draft and Gmail draft
What this skill tells your AI
The instructions your AI receives, as published by datadog/datadog-agent in .agents/skills/agent-supply-chain-newsletter/SKILL.md and read by ahel’s review.
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
- Search for the latest blog posts in the ASC1 Confluence space:
mcp__claude_ai_Atlassian__searchConfluenceUsingCqlwithcql:type = "blogpost" AND space = "ASC1" ORDER BY created DESC(limit 3)
- 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:
- Agent Developer Experience (CI speed, developer tools, workflows, open source)
- Agent Build (Bazel migration, build system, platform support)
- 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.netspaceId:4662624793(ASC1 space)title:<Period> - Agent Supply Chain Monthly UpdatecontentType:blogstatus:draftcontentFormat:markdown
6b. Gmail draft
Use mcp__claude_ai_Gmail__gmail_create_draft with:
to:agent-community@datadoghq.comsubject:<Period> - Agent Supply Chain Monthly UpdatecontentType:text/html- Rich HTML body matching the Confluence content
Step 7: Present results
Return to the user:
- Links to both the Confluence draft and Gmail draft
- A bullet-point summary of the sections covered
- 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
Signals
- GitHub stars
- 4k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
agent-supply-chain-newsletter- Source
- github.com/datadog/datadog-agent