Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Gram project.
$ npx skills add speakeasy-api/gram --skill datadog -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install speakeasy-api/gram datadog --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/datadog .claude/skills/datadog && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .claude/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadogType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add speakeasy-api/gram --skill datadog -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install speakeasy-api/gram datadog --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/datadog .agents/skills/datadog && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .agents/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add speakeasy-api/gram --skill datadog -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install speakeasy-api/gram datadog --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/datadog .cursor/skills/datadog && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .cursor/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/speakeasy-api/gram.git --path .agents/skills/datadog--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add speakeasy-api/gram --skill datadog -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install speakeasy-api/gram datadog --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/datadog .gemini/skills/datadog && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .gemini/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install speakeasy-api/gram datadogInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add speakeasy-api/gram --skill datadog -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/datadog .github/skills/datadog && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .github/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add speakeasy-api/gram --skill datadog -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install speakeasy-api/gram datadog --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/datadog .opencode/skills/datadog && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "datadog" agent skill from https://github.com/speakeasy-api/gram/tree/main/.agents/skills/datadog into .opencode/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
datadogUse Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Gram project.
Datadog is an agent skill from speakeasy-api/gram. Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Gram project. Activate when the user asks about errors, performance issues, incidents, latency, or wants to search telemetry data.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Datadog and Model Context Protocol. The repository describes itself as: Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit 4d32da1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Datadog loads about 754 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 240 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from speakeasy-api/gram at commit 4d32da1, republished under its AGPL-3.0 licence (© speakeasy-api). 240 words, ~754 tokens.
.claude/skills/datadog/SKILL.md (or your agent's skills folder).Always filter by the relevant service(s) when querying Datadog:
| Service | Description |
|---|---|
gram | Dashboard frontend (RUM) |
gram-dashboard | Dashboard backend |
gram-server | Main backend API server |
gram-worker | Temporal worker |
fly | Fly.io — where Gram Functions logs are collected |
Use only the following Datadog MCP tools unless the user explicitly asks for others:
mcp__datadog-mcp__search_datadog_logs — Search and filter log eventsmcp__datadog-mcp__analyze_datadog_logs — Analyze log patterns and aggregate statsmcp__datadog-mcp__get_datadog_metric — Get a specific metric's time-series datamcp__datadog-mcp__get_datadog_metric_context — Get context and metadata for a metricmcp__datadog-mcp__search_datadog_metrics — Search available metrics by namemcp__datadog-mcp__get_datadog_trace — Get a specific trace by IDmcp__datadog-mcp__search_datadog_spans — Search spans (useful for latency investigation)mcp__datadog-mcp__aggregate_spans — Aggregate spans (counts, percentiles) grouped by tags such as resource_name or @http.status_codemcp__datadog-mcp__search_datadog_incidents — Search active/recent incidentsmcp__datadog-mcp__get_datadog_incident — Get details for a specific incidentmcp__datadog-mcp__search_datadog_monitors — Find monitors and their current statemcp__datadog-mcp__search_datadog_rum_events — Search Real User Monitoring events (frontend errors, sessions)mcp__datadog-mcp__search_datadog_events — Search Datadog events streammcp__datadog-mcp__search_datadog_services — Discover services in APMmcp__datadog-mcp__search_datadog_service_dependencies — View service dependency mapsearch_datadog_logs, filter by status:error, then follow trace IDs with get_datadog_trace.search_datadog_spans with service:<name> and sort by duration.search_datadog_rum_events for gram.search_datadog_incidents first before deep-diving into logs.© speakeasy-api, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/datadog of speakeasy-api/gram.
Open the folder on GitHubat commit 4d32da1
Datadog next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Datadog this skillspeakeasy-api/gram | 272 | — | ~754 | Automated safety check: Pass | AGPL-3.0 | |
| Agent Observability Eval Bootstrapdatadog-labs/agent-skills | 177 | — | ~25k | Automated safety check: Pass | MIT | |
| Ops Investigate Alertc0x12c/ai-toolkit | 106 | — | ~1.4k | Automated safety check: Pass | None | |
| Claude Docs Consultantcentminmod/my-claude-code-setup | 2.7k | — | ~959 | Automated safety check: Pass | MIT | |
| Opsanyunixhot/opsany-paas | 181 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Project Releaseswimmwatch/cloakbrowser-mcp | 161 | — | ~1.9k | Automated safety check: Pass | MIT |
datadog-labs/agent-skills
Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit…
c0x12c/ai-toolkit
Investigate a monitoring alert end-to-end. An agent skill from c0x12c/ai-toolkit.
centminmod/my-claude-code-setup
Consult official Claude Code documentation from code.claude.com using selective fetching.
unixhot/opsany-paas
通过 opsany-mcp-server 连接 OpsAny 运维平台，实现 CMDB 资源查询和操作、模型管理、工单管理、用户管理、作业执行及主机纳管等全栈运维操作。
swimmwatch/cloakbrowser-mcp
Prepare, publish, verify, or recover a cloakbrowser-mcp release only when the user explicitly requests release work.
autoclaw-cc/xiaohongshu-mcp-skills
安装部署 xiaohongshu-mcp 服务并配置 MCP 连接，引导用户完成从零到可用的全流程. An agent skill from autoclaw-cc/xiaohongshu-mcp-skills.
speakeasy-api/gram
A skill your agent uses when automating the Gram dashboard in a browser, capturing screenshots, inspecting pages.
speakeasy-api/gram
A skill your agent uses when adding, changing, restyling, reviewing, validating, or previewing a Gram/Speakeasy transactional email, in Go or in LMX/MJML — a template<name.go, a TemplateKey…
speakeasy-api/gram
A skill your agent uses when adding, changing, or styling UI in client/admin (the Gram admin dashboard) that touches shadcn/ui — a button, dialog, table, sidebar, badge, select, tabs, tooltip, card…
speakeasy-api/gram
A skill your agent uses when adding, editing, reviewing, testing, or locating a reviewed skill distributed with the Platform MCP plugin; triggers include "Platform MCP skill", "platformmcpskills"…
speakeasy-api/gram
A skill your agent uses when changing or reviewing Gram ClickHouse schemas, migrations, queries, inserts, access principals, bootstrap SQL, Cloud compatibility, partial migration failures, or…
speakeasy-api/gram
A skill your agent uses when gating a feature behind a flag, dogfooding or gradually rolling out a change, choosing between productfeatures and PostHog feature flags, adding or checking a product…
Works with
Categories
Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Gram project. Datadog is an agent skill from speakeasy-api/gram. Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Gram project.
Datadog fits situations like: asks about errors; performance issues; wants to search telemetry data.
Run `npx skills add speakeasy-api/gram --skill datadog -a claude-code`. Or copy the skill folder (.agents/skills/datadog in speakeasy-api/gram) into .claude/skills/datadog in your project. Claude Code loads it when a task matches its description.
Run `npx skills add speakeasy-api/gram --skill datadog -a codex`. Or copy the skill folder (.agents/skills/datadog in speakeasy-api/gram) into .agents/skills/datadog in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add speakeasy-api/gram --skill datadog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datadog, .gemini/skills/datadog, .github/skills/datadog and .opencode/skills/datadog in your project.
SKILL.md names no scripts, command-line tools or credentials: Datadog is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Datadog is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 754 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Datadog: Agent Observability Eval Bootstrap (datadog-labs/agent-skills, 177 stars), Ops Investigate Alert (c0x12c/ai-toolkit, 106 stars), Claude Docs Consultant (centminmod/my-claude-code-setup, 2.7k stars) and Opsany (unixhot/opsany-paas, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
speakeasy-api (a GitHub organization) maintains it in speakeasy-api/gram, which has 272 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 7, 2026.
Source: speakeasy-api/gram on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
