mcpbeat Sign in

Releasenote Agent Skill

> Decide whether a release note is needed, and if so create or update a Reno fragment, following dd-trace-py's conventions (docs/releasenotes.rst).

988 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
646
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/DataDog/dd-trace-py --skill releasenote

The instruction itself

5 sections, as written by the author

Decide if a note is needed

Required: breaking API change, new feature, bug fix, deprecation, dependency upgrade —

if it's customer-impacting.

Not required: CI chores, internal-only/not-yet-released API changes, test-only changes.

If customer impact is unclear, ask the user what the customer impact is. Never guess —

unless the PR/issue/ticket you were given already states it. If no note is needed, say so and

suggest the changelog/no-changelog PR label instead.

Audience

The note is for a customer upgrading dd-trace-py — never for a dd-trace-py contributor.

It is not a PR summary. Internal rationale, implementation detail, and CI/test notes go in

the PR description, not here.

Before writing

  • If the category (features/fixes/upgrade/deprecations/issues/api/security/other)

isn't given, ask.

  • Check for an existing fragment on the same topic, scoped to your current branch's own

unmerged changes: git diff --name-only <base>...HEAD -- releasenotes/notes/, where

<base> is the branch you're merging into (usually origin/main; use the actual base if

this branch forked off a release branch instead). Only reuse a fragment from that diff — one

already on the base branch may already be released; create a new fragment instead of

editing a shipped one.

  • Read the PR/commit diff for ground truth, but translate it — don't copy engineering language.

Write the note

Generate the skeleton: riot run reno new <slug> (slug: lowercase, hyphenated, e.g.

fix-aioredis-catch-canceled-error). Edit the generated YAML, keeping only the section(s)

that apply — one Reno fragment per change.

Format: <scope>: <sentence(s)>. Scope is the component name (see

:ref:release_notes_scope in docs/releasenotes.rst — tracing, profiling, ASM,

dynamic instrumentation, CI visibility, or the integration name). Use internal when the

change genuinely isn't tied to one product (e.g. core threading/fork-safety affecting several

products) — that's a legitimate scope, not a placeholder for when you didn't pick one.

Fix — state the customer-visible symptom, not the root cause, in present tense:

Fixes an issue where <symptom> occurs when <condition>.

Feature/behavior change — if it's configurable or changes a default, state the exact env

var / config option / argument and what it does. Don't skip this when a toggle exists.

Never include: internal function/class names, internal tag prefixes (_dd.*),

RFC/JIRA/ticket numbers, CI job names, draft leftovers (TODO, XXX, unfinished sentences),

or "why we built it this way" rationale.

Length: 1-2 sentences. Longer only to show a code example for a new public API.

Verify facts against the code, not the PR title — defaults and numbers drift.

Examples

Good (fix):

fixes:
  - |
    profiling: Fixes inconsistent handling of ``DD_PROFILING_MAX_FRAMES`` by clamping it
    before stack collection so samples stay within the backend's 600-location limit.

Good (feature, toggle):

features:
  - |
    AI Guard: Adds per-integration kill switches ``DD_AI_GUARD_ANTHROPIC_ENABLED`` and
    ``DD_AI_GUARD_LANGCHAIN_ENABLED`` (default ``true``). Set to ``false`` to disable AI
    Guard for that provider/framework.

Bad → good rewrite (internal scope is fine here — not product-specific; the fix is the wording):

# Bad: internal mechanism, no customer symptom
fixes:
  - |
    internal: Fixed a GC reference-cycle leak in PeriodicThread.

# Good
fixes:
  - |
    internal: Fixes a memory leak that causes memory usage to grow over time in
    long-running processes using background periodic tasks.

Other skills for the same job

different authors, same section of the catalogue
Protocolsio Integration
by christophacham
×4

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

16k tokens
Tailored Resume Generator
by frostant
×4

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances

3k tokens
Excalidraw Diagram Generator
by github
vendor ×3

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

36k tokens scripts
Expo Dev Client
by openai
vendor ×3

Build and distribute Expo development clients locally or via TestFlight

961 tokens
Executing Plans
by ZhanlinCui
×3

Use when you have a written implementation plan to execute in a separate session with review checkpoints

542 tokens
Anndata
by christophacham
×3

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

16k tokens
Benchling Integration
by christophacham
×3

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

14k tokens
Biopython
by christophacham
×3

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

24k tokens

How to use it

Copy the folder

Take datadog/releasenote from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.