Otel Python
ollygarden/opentelemetry-agent-skills
OpenTelemetry in Python — SDK setup, declarative config, zero-code instrumentation (opentelemetry-instrument, opentelemetry-distro), contrib auto-instrumentation, manual API, performance tuning…
Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
$ npx skills add getsentry/sentry-for-ai --skill sentry-python-sdk -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install getsentry/sentry-for-ai sentry-python-sdk --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/getsentry/sentry-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .claude/skills/sentry-python-sdk && 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 "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .claude/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdkType 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 getsentry/sentry-for-ai --skill sentry-python-sdk -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install getsentry/sentry-for-ai sentry-python-sdk --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .agents/skills/sentry-python-sdk && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .agents/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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 getsentry/sentry-for-ai --skill sentry-python-sdk -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install getsentry/sentry-for-ai sentry-python-sdk --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .cursor/skills/sentry-python-sdk && 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 "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .cursor/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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/getsentry/sentry-for-ai.git --path skills-legacy/sentry-python-sdk--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 getsentry/sentry-for-ai --skill sentry-python-sdk -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install getsentry/sentry-for-ai sentry-python-sdk --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .gemini/skills/sentry-python-sdk && 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 "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .gemini/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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 getsentry/sentry-for-ai sentry-python-sdkInstalls 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 getsentry/sentry-for-ai --skill sentry-python-sdk -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .github/skills/sentry-python-sdk && 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 "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .github/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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 getsentry/sentry-for-ai --skill sentry-python-sdk -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install getsentry/sentry-for-ai sentry-python-sdk --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-legacy/sentry-python-sdk .opencode/skills/sentry-python-sdk && 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 "sentry-python-sdk" agent skill from https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-python-sdk into .opencode/skills/sentry-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentry-python-sdk", 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.
sentry-python-sdkFull Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
Sentry Python SDK is an agent skill from getsentry/sentry-for-ai, published by the product's own GitHub organization. Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/ai-monitoring.md`, `references/crons.md` and `references/error-monitoring.md`).
It sits in Backend & APIs, covering Backend development, Background jobs and Scheduled and recurring tasks. It works with Sentry, Python, Django and FastAPI. The repository describes itself as: Teach your AI coding assistant how to use Sentry - setup, debugging, alerts, and more. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d8fd106. 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.
Shell commands in SKILL.md call:
pipfastapiFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.sentry.ioFrom 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.
Sentry Python SDK loads about 4.1k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 1,290 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 getsentry/sentry-for-ai at commit d8fd106, republished under its Apache-2.0 licence (© getsentry). 1,290 words, ~4,064 tokens.
.claude/skills/sentry-python-sdk/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.All Skills > SDK Setup > Python SDK
Opinionated wizard that scans your Python project and guides you through complete Sentry setup.
sentry-sdk, sentry_sdk, or Sentry + any Python frameworkNote: SDK versions and APIs below reflect Sentry docs at time of writing (sentry-sdk 2.x). Always verify against docs.sentry.io/platforms/python/ before implementing.
Run these commands to understand the project before making recommendations:
# Check existing Sentry
grep -i sentry requirements.txt pyproject.toml setup.cfg setup.py 2>/dev/null
# Detect web framework
grep -rE "django|flask|fastapi|starlette|aiohttp|tornado|quart|falcon|sanic|bottle|pyramid" \
requirements.txt pyproject.toml 2>/dev/null
# Detect task queues
grep -rE "celery|rq|huey|arq|dramatiq" requirements.txt pyproject.toml 2>/dev/null
# Detect logging libraries
grep -E "loguru" requirements.txt pyproject.toml 2>/dev/null
# Detect AI libraries
grep -rE "openai|anthropic|langchain|huggingface|google-genai|pydantic-ai|litellm" \
requirements.txt pyproject.toml 2>/dev/null
# Detect schedulers / crons
grep -rE "celery|apscheduler|schedule|crontab" requirements.txt pyproject.toml 2>/dev/null
# OpenTelemetry tracing — check for SDK + instrumentations
grep -rE "opentelemetry-sdk|opentelemetry-instrumentation|opentelemetry-distro" \
requirements.txt pyproject.toml 2>/dev/null
grep -rn "TracerProvider\|trace\.get_tracer\|start_as_current_span" \
--include="*.py" 2>/dev/null | head -5
# Check for companion frontend
ls frontend/ web/ client/ ui/ static/ templates/ 2>/dev/nullWhat to note:
sentry-sdk already in requirements? If yes, check if sentry_sdk.init() is present — may just need feature config.sentry_sdk.init().)Based on what you found, present a concrete proposal. Don't ask open-ended questions — lead with a recommendation:
Route from OTel detection:
opentelemetry-sdk / opentelemetry-distro in requirements, or TracerProvider in source) → use OTLP path: OTLPIntegration(); do not set traces_sample_rate; Sentry links errors to OTel traces automaticallyAlways recommended (core coverage):
ExceptionGroup (Python 3.11+)logging stdlib auto-captured; enhanced if Loguru detectedRecommend when detected:
Recommendation matrix:
| Feature | Recommend when... | Reference |
|---|---|---|
| Error Monitoring | Always — non-negotiable baseline | ${SKILL_ROOT}/references/error-monitoring.md |
| OTLP Integration | OTel tracing detected — replaces native Tracing | ${SKILL_ROOT}/references/tracing.md |
| Tracing | Django/Flask/FastAPI/AIOHTTP/etc. detected; skip if OTel tracing detected | ${SKILL_ROOT}/references/tracing.md |
| Profiling | Production + performance-sensitive workload; skip if OTel tracing detected (requires traces_sample_rate, incompatible with OTLP) | ${SKILL_ROOT}/references/profiling.md |
| Logging | Always (stdlib); enhanced for Loguru | ${SKILL_ROOT}/references/logging.md |
| Metrics | Business events or SLO tracking needed | ${SKILL_ROOT}/references/metrics.md |
| Crons | Celery Beat, APScheduler, or cron patterns | ${SKILL_ROOT}/references/crons.md |
| AI Monitoring | OpenAI/Anthropic/LangChain/etc. detected | ${SKILL_ROOT}/references/ai-monitoring.md |
OTel tracing detected: "I see OpenTelemetry tracing in the project. I recommend Sentry's OTLP integration for tracing (via your existing OTel setup) + Error Monitoring + Sentry Logging [+ Metrics/Crons/AI Monitoring if applicable]. Shall I proceed?"
No OTel: "I recommend Error Monitoring + Tracing [+ Logging if applicable]. Want Profiling, Crons, or AI Monitoring too?"
# Core SDK (always required)
pip install sentry-sdk
# Optional extras (install only what matches detected framework):
pip install "sentry-sdk[django]"
pip install "sentry-sdk[flask]"
pip install "sentry-sdk[fastapi]"
pip install "sentry-sdk[celery]"
pip install "sentry-sdk[aiohttp]"
pip install "sentry-sdk[tornado]"
# Multiple extras:
pip install "sentry-sdk[django,celery]"Extras are optional — plain
sentry-sdkworks for all frameworks. Extras install complementary packages.
Full init enabling the most features with sensible defaults. Place before any app/framework code:
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
environment=os.environ.get("SENTRY_ENVIRONMENT", "production"),
release=os.environ.get("SENTRY_RELEASE"), # e.g. "myapp@1.0.0"
send_default_pii=True,
# Tracing (lower to 0.1–0.2 in high-traffic production)
traces_sample_rate=1.0,
# Profiling — continuous, tied to active spans
profile_session_sample_rate=1.0,
profile_lifecycle="trace",
# Structured logs (SDK ≥ 2.35.0)
enable_logs=True,
)| Framework | Where to call sentry_sdk.init() | Notes |
|---|---|---|
| Django | Top of settings.py, before any imports | No middleware needed — Sentry patches Django internally |
| Flask | Before app = Flask(__name__) | Must precede app creation |
| FastAPI | Before app = FastAPI() | StarletteIntegration + FastApiIntegration auto-enabled together |
| Starlette | Before app = Starlette(...) | Same auto-integration as FastAPI |
| AIOHTTP | Module level, before web.Application() | |
| Tornado | Module level, before app setup | No integration class needed |
| Quart | Before app = Quart(__name__) | |
| Falcon | Module level, before app = falcon.App() | |
| Pyramid | Module level, before config = Configurator() | WSGI framework |
| Sanic | Inside @app.listener("before_server_start") | Sanic's lifecycle requires async init |
| Celery | @signals.celeryd_init.connect in worker AND in calling process | Dual-process init required |
| RQ | mysettings.py loaded by worker via rq worker -c mysettings | |
| ARQ | Both worker module and enqueuing process |
Django example (settings.py):
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
send_default_pii=True,
traces_sample_rate=1.0,
profile_session_sample_rate=1.0,
profile_lifecycle="trace",
enable_logs=True,
)
# rest of Django settings...
INSTALLED_APPS = [...]FastAPI example (main.py):
import sentry_sdk
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
send_default_pii=True,
traces_sample_rate=1.0,
profile_session_sample_rate=1.0,
profile_lifecycle="trace",
enable_logs=True,
)
from fastapi import FastAPI
app = FastAPI()Most integrations activate automatically when their package is installed — no integrations=[...] needed:
| Auto-enabled | Explicit required |
|---|---|
| Django, Flask, FastAPI, Starlette, AIOHTTP, Tornado, Quart, Falcon, Pyramid, Sanic, Bottle | DramatiqIntegration |
| Celery, RQ, Huey, ARQ | GRPCIntegration |
| SQLAlchemy, Redis, asyncpg, pymongo | StrawberryIntegration |
| Requests, HTTPX, httpx2, aiohttp-client | AsyncioIntegration |
| OpenAI, Anthropic, LangChain, Pydantic AI, MCP | OpenTelemetryIntegration |
Python logging, Loguru | WSGIIntegration / ASGIIntegration |
Walk through features one at a time. Load the reference, follow its steps, verify before moving on:
| Feature | Reference file | Load when... |
|---|---|---|
| Error Monitoring | ${SKILL_ROOT}/references/error-monitoring.md | Always (baseline) |
| Tracing | ${SKILL_ROOT}/references/tracing.md | HTTP handlers / distributed tracing |
| Profiling | ${SKILL_ROOT}/references/profiling.md | Performance-sensitive production |
| Logging | ${SKILL_ROOT}/references/logging.md | Always; enhanced for Loguru |
| Metrics | ${SKILL_ROOT}/references/metrics.md | Business KPIs / SLO tracking |
| Crons | ${SKILL_ROOT}/references/crons.md | Scheduler / cron patterns detected |
| AI Monitoring | ${SKILL_ROOT}/references/ai-monitoring.md | AI library detected |
For each feature: Read ${SKILL_ROOT}/references/<feature>.md, follow steps exactly, verify it works.
sentry_sdk.init() Options| Option | Type | Default | Purpose |
|---|---|---|---|
dsn | str | None | SDK disabled if empty; env: SENTRY_DSN |
environment | str | "production" | e.g., "staging"; env: SENTRY_ENVIRONMENT |
release | str | None | e.g., "myapp@1.0.0"; env: SENTRY_RELEASE |
send_default_pii | bool | False | Include IP, headers, cookies, auth user, query strings (ASGI frameworks) |
traces_sample_rate | float | None | Transaction sample rate; None disables tracing |
traces_sampler | Callable | None | Custom per-transaction sampling (overrides rate) |
profile_session_sample_rate | float | None | Continuous profiling session rate |
profile_lifecycle | str | "manual" | "trace" = auto-start profiler with spans |
profiles_sample_rate | float | None | Transaction-based profiling rate |
enable_logs | bool | False | Send logs to Sentry (SDK ≥ 2.35.0) |
sample_rate | float | 1.0 | Error event sample rate |
attach_stacktrace | bool | False | Stack traces on capture_message() |
max_breadcrumbs | int | 100 | Max breadcrumbs per event |
debug | bool | False | Verbose SDK debug output |
before_send | Callable | None | Hook to mutate/drop error events |
before_send_transaction | Callable | None | Hook to mutate/drop transaction events |
ignore_errors | list | [] | Exception types or regex patterns to suppress |
auto_enabling_integrations | bool | True | Set False to disable all auto-detection |
OTLPIntegration Options (pass to constructor)| Option | Type | Default | Purpose |
|---|---|---|---|
setup_otlp_traces_exporter | bool | True | Auto-configure OTLP exporter; set False if you send to your own Collector |
collector_url | str | None | OTLP HTTP endpoint of an OTel Collector (e.g., http://localhost:4318/v1/traces); when set, spans are sent to the collector instead of directly to Sentry |
setup_propagator | bool | True | Auto-configure Sentry propagator for distributed tracing |
capture_exceptions | bool | False | Intercept exceptions recorded via OTel Span.record_exception |
| Variable | Maps to | Notes |
|---|---|---|
SENTRY_DSN | dsn | |
SENTRY_RELEASE | release | Also auto-detected from git SHA, Heroku, CircleCI, CodeBuild, GAE |
SENTRY_ENVIRONMENT | environment | |
SENTRY_DEBUG | debug |
Test that Sentry is receiving events:
# Trigger a real error event — check dashboard within seconds
division_by_zero = 1 / 0Or for a non-crashing check:
sentry_sdk.capture_message("Sentry Python SDK test")If nothing appears:
debug=True in sentry_sdk.init() — prints SDK internals to stdoutSENTRY_DSN env var is set in the running processAfter completing Python setup, check for a companion frontend missing Sentry:
ls frontend/ web/ client/ ui/ 2>/dev/null
cat frontend/package.json web/package.json client/package.json 2>/dev/null \
| grep -E '"react"|"svelte"|"vue"|"next"|"nuxt"'If a frontend exists without Sentry, suggest the matching skill:
| Frontend detected | Suggest skill |
|---|---|
| React / Next.js | sentry-react-sdk |
| Svelte / SvelteKit | sentry-svelte-sdk |
| Vue / Nuxt | Use @sentry/vue — see docs.sentry.io/platforms/javascript/guides/vue/ |
| Other JS/TS | sentry-react-sdk (covers generic browser JS patterns) |
| Issue | Solution |
|---|---|
| Events not appearing | Set debug=True, verify DSN, check env vars in the running process |
| Malformed DSN error | Format: https://<key>@o<org>.ingest.sentry.io/<project> |
| Django exceptions not captured | Ensure sentry_sdk.init() is at the top of settings.py before other imports |
| Flask exceptions not captured | Init must happen before app = Flask(__name__) |
| FastAPI exceptions not captured | Init before app = FastAPI(); both StarletteIntegration and FastApiIntegration auto-enabled |
| ASGI chained exceptions suppressed | By default, Sentry's ASGI middleware strips exception chains (raise exc from None). To preserve chained exceptions, set _experiments={"suppress_asgi_chained_exceptions": False} in sentry_sdk.init() |
| Celery task errors not captured | Must call sentry_sdk.init() in the worker process via celeryd_init signal |
| Sanic init not working | Init must be inside @app.listener("before_server_start"), not module level |
| uWSGI not capturing | Add --enable-threads --py-call-uwsgi-fork-hooks to uWSGI command |
| No traces appearing (native) | Verify traces_sample_rate is set (not None); check that the integration is auto-enabled |
| No traces appearing (OTLP) | Verify sentry-sdk[opentelemetry-otlp] is installed; do not set traces_sample_rate when using OTLPIntegration |
| Profiling not starting | Requires traces_sample_rate > 0 + either profile_session_sample_rate or profiles_sample_rate; not compatible with OTLP path |
enable_logs not working | Requires SDK ≥ 2.35.0; for direct structured logs use sentry_sdk.logger; for stdlib bridging use LoggingIntegration(sentry_logs_level=...) |
| Too many transactions | Lower traces_sample_rate or use traces_sampler to drop health checks |
| Cross-request data leaking | Don't use get_global_scope() for per-request data — use get_isolation_scope() |
| Query strings not captured (ASGI) | Query strings and client IP in ASGI frameworks (FastAPI, Starlette, etc.) require send_default_pii=True |
| RQ worker not reporting | Pass --sentry-dsn="" to disable RQ's own Sentry shortcut; init via settings file instead |
© getsentry, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in skills-legacy/sentry-python-sdk of getsentry/sentry-for-ai.
Open the folder on GitHubat commit d8fd106
Sentry Python SDK 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 |
|---|---|---|---|---|---|---|
| Sentry Python SDK this skillgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Otel Pythonollygarden/opentelemetry-agent-skills | 106 | 1 repos | ~911 | Automated safety check: Pass | Apache-2.0 | |
| Fix Slow Endpointvpcarlos/profyle | 123 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Framework Migration AssistantArabelaTso/Skills-4-SE | 253 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Python Appservice Deploymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~688 | Automated safety check: Pass | MIT | |
| Python Devdoccker/cc-use-exp | 1.1k | — | ~790 | Automated safety check: Pass | Custom licence |
ollygarden/opentelemetry-agent-skills
OpenTelemetry in Python — SDK setup, declarative config, zero-code instrumentation (opentelemetry-instrument, opentelemetry-distro), contrib auto-instrumentation, manual API, performance tuning…
vpcarlos/profyle
Diagnose and fix a slow endpoint or request in a Python web app (FastAPI, Flask, Django, Tornado, any ASGI/WSGI framework) using real Profyle/VizTracer traces, then prove the fix by replaying the…
ArabelaTso/Skills-4-SE
Automatically migrate Python web applications between frameworks (Flask → FastAPI, Django → FastAPI).
microsoft/GitHub-Copilot-for-Azure
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux.
doccker/cc-use-exp
Python 开发规范。当用户操作 .py、pyproject.toml、requirements.txt、setup.py 文件, 或涉及 FastAPI、Django、Flask、pytest、asyncio 开发时触发。
jh941213/my-cc-harness
Production-grade FastAPI project creation and setup guide. An agent skill from jh941213/my-cc-harness.
getsentry/sentry-for-ai
Full Sentry SDK setup for Elixir. An agent skill from getsentry/sentry-for-ai.
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Full Sentry SDK setup for Go. An agent skill from getsentry/sentry-for-ai.
getsentry/sentry-for-ai
Full Sentry SDK setup for Next.js. An agent skill from getsentry/sentry-for-ai.
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Full Sentry SDK setup for React Router Framework mode. An agent skill from getsentry/sentry-for-ai.
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Full Sentry SDK setup for React. An agent skill from getsentry/sentry-for-ai.
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Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai. Sentry Python SDK is an agent skill from getsentry/sentry-for-ai, published by the product's own GitHub organization. Full Sentry SDK setup for Python.
Sentry Python SDK fits situations like: asked to add Sentry to Python; install sentry-sdk; setup Sentry in Python; configure error monitoring.
Run `npx skills add getsentry/sentry-for-ai --skill sentry-python-sdk -a claude-code`. Or copy the skill folder (skills-legacy/sentry-python-sdk in getsentry/sentry-for-ai) into .claude/skills/sentry-python-sdk in your project. Claude Code loads it when a task matches its description.
Run `npx skills add getsentry/sentry-for-ai --skill sentry-python-sdk -a codex`. Or copy the skill folder (skills-legacy/sentry-python-sdk in getsentry/sentry-for-ai) into .agents/skills/sentry-python-sdk 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 getsentry/sentry-for-ai --skill sentry-python-sdk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentry-python-sdk, .gemini/skills/sentry-python-sdk, .github/skills/sentry-python-sdk and .opencode/skills/sentry-python-sdk in your project.
Going by SKILL.md and its folder, Sentry Python SDK needs the command-line tools its instructions call (pip and fastapi). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: docs.sentry.io. 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.
Sentry Python SDK is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sentry Python SDK: Otel Python (ollygarden/opentelemetry-agent-skills, 106 stars), Fix Slow Endpoint (vpcarlos/profyle, 123 stars), Framework Migration Assistant (ArabelaTso/Skills-4-SE, 253 stars) and Python Appservice Deploy (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
getsentry (a GitHub organization, an official publisher) maintains it in getsentry/sentry-for-ai, which has 268 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 7, 2026.
Source: getsentry/sentry-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.