> 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).
npx skills add https://github.com/DataDog/dd-trace-py --skill releasenote
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.
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.
features/fixes/upgrade/deprecations/issues/api/security/other)isn't given, ask.
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.
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.
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.
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.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
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.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
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.
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.
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.
Take datadog/releasenote from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.