MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Create, update, or delete Sippy job run Labels (the human-readable tags applied by Symptoms) via the authenticated Sippy API
$ npx skills add openshift-eng/ai-helpers --skill manage-labels -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers manage-labels --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/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ci/skills/manage-labels .claude/skills/manage-labels && 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 "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .claude/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labelsType 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 openshift-eng/ai-helpers --skill manage-labels -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers manage-labels --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ci/skills/manage-labels .agents/skills/manage-labels && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .agents/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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 openshift-eng/ai-helpers --skill manage-labels -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers manage-labels --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ci/skills/manage-labels .cursor/skills/manage-labels && 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 "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .cursor/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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/openshift-eng/ai-helpers.git --path plugins/ci/skills/manage-labels--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 openshift-eng/ai-helpers --skill manage-labels -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers manage-labels --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ci/skills/manage-labels .gemini/skills/manage-labels && 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 "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .gemini/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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 openshift-eng/ai-helpers manage-labelsInstalls 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 openshift-eng/ai-helpers --skill manage-labels -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ci/skills/manage-labels .github/skills/manage-labels && 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 "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .github/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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 openshift-eng/ai-helpers --skill manage-labels -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openshift-eng/ai-helpers manage-labels --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ci/skills/manage-labels .opencode/skills/manage-labels && 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 "manage-labels" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/manage-labels into .opencode/skills/manage-labels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-labels", 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.
manage-labelsCreate, update, or delete Sippy job run Labels (the human-readable tags applied by Symptoms) via the authenticated Sippy API
Manage Labels is an agent skill from openshift-eng/ai-helpers. Create, update, or delete Sippy job run Labels (the human-readable tags applied by Symptoms) via the authenticated Sippy API
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `manage_labels.py` and `test_manage_labels.py`).
It works with Python. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. 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 a627176. 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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.cr.j7t7.p1.openshiftapps.comsippy-auth.dptools.openshift.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SIPPY_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Manage Labels loads about 1.9k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 756 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 openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 756 words, ~1,866 tokens.
.claude/skills/manage-labels/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Sippy Symptoms are known-failure signatures for OpenShift CI. A symptom is a rule made of a file pattern (a glob over a CI job run's artifact files, e.g. **/build-log.txt) and a matcher (string = substring, regex = regular expression, none = file merely exists, cel = a compound CEL expression over other label names). When a symptom matches a job run's artifacts, Sippy applies one or more Labels — human-readable tags like InfraFailure — to that run. Labels appear in the Sippy UI and Spyglass and help everyone quickly recognize known failure modes without re-debugging them. You do not need any prior Sippy knowledge to use this skill.
Labels must exist before a symptom can reference them, so create labels first when building a new symptom.
Use this skill when you need to:
manage-symptoms)OpenShift CLI Authentication: Required for authenticating to the sippy-auth API
oc loginhttps://api.cr.j7t7.p1.openshiftapps.com:6443oc-auth skill to obtain the Bearer tokenPython 3: Python 3.6 or later
python3 --versionUse the oc-auth skill to obtain a Bearer token from the DPCR cluster:
# Get token from the DPCR cluster context
# The oc-auth skill's curl_with_token.sh uses this cluster for sippy-auth
DPCR_CLUSTER="https://api.cr.j7t7.p1.openshiftapps.com:6443"
# Find the oc context for the DPCR cluster and get the token
CONTEXT=$(oc config get-contexts -o name 2>/dev/null | while read -r ctx; do
server=$(oc config view -o jsonpath="{.clusters[?(@.name=='$(oc config view -o jsonpath="{.contexts[?(@.name=='$ctx')].context.cluster}" 2>/dev/null)')].cluster.server}" 2>/dev/null || echo "")
server_clean=$(echo "$server" | sed -E 's|^https?://||')
if [ "$server_clean" = "api.cr.j7t7.p1.openshiftapps.com:6443" ]; then
echo "$ctx"
break
fi
done)
if [ -z "$CONTEXT" ]; then
echo "Error: Not logged into DPCR cluster. Please run: oc login $DPCR_CLUSTER"
exit 1
fi
export SIPPY_TOKEN=$(oc whoami -t --context="$CONTEXT" 2>/dev/null)
if [ -z "$SIPPY_TOKEN" ]; then
echo "Error: Failed to get token. Please re-authenticate to DPCR cluster."
exit 1
fiPrefer exporting SIPPY_TOKEN as above rather than passing --token on the command line — command-line arguments are visible in process listings. --token still works and takes precedence over the environment variable.
python3 plugins/ci/skills/manage-labels/manage_labels.py create \
--title "Cluster DNS Flake" \
--explanation "DNS lookups inside the cluster intermittently time out." \
--bugs "OCPBUGS-12345,TRT-2896"The label id is generated from the title by the server if you omit --id. Pass --id on create only if you need a specific identifier (max 80 characters).
Only pass the flags you want to change — the script fetches the existing label and merges, because the API's PUT is a full replacement:
python3 plugins/ci/skills/manage-labels/manage_labels.py update \
--id ClusterDNSFlake \
--explanation "DNS lookups inside the cluster intermittently time out. Usually caused by node-local DNS cache restarts."The update request always sends the complete label definition. Omitted fields are copied from the
current definition. Pass --bugs "" to explicitly clear all associated Jira issues.
To hide a label from certain UI contexts:
python3 plugins/ci/skills/manage-labels/manage_labels.py update \
--id ClusterDNSFlake \
--hide-display-contexts "spyglass,metrics"Before deleting, you MUST show the label to the user (fetch it with the list-symptoms skill: python3 plugins/ci/skills/list-symptoms/list_symptoms.py --labels --id <id> --format summary) and get their explicit confirmation. Never run delete without the user confirming the specific label.
python3 plugins/ci/skills/manage-labels/manage_labels.py delete \
--id ClusterDNSFlakeArguments:
action: create, update, or delete (positional, required)Options:
--token <token>: Bearer token from the oc-auth skill (optional if the SIPPY_TOKEN environment variable is set, which is preferred — argv is visible in process listings; --token takes precedence)--id <id>: Label ID (required for update/delete; optional for create)--title <text>: Human-readable label title (required for create)--explanation <text>: Markdown explanation of the label--bugs <list>: Comma-separated Jira issue keys; whitespace and duplicates are removed--hide-display-contexts <list>: Comma-separated subset of spyglass,metrics,jaq-options--format json|summary: Output format (default: json)Base URL (writes): https://sippy-auth.dptools.openshift.org/api/jobs/labels
POST /api/jobs/labelsPUT /api/jobs/labels/{id} (full replacement — the script fetches the existing label and merges your changes, so only pass flags you want to change)DELETE /api/jobs/labels/{id}Authentication: Authorization: Bearer <token> from the DPCR cluster.
Label fields:
| Field | Description |
|---|---|
id | Immutable identifier, max 80 characters; generated from the title if omitted on create |
label_title | Human-readable title; must be unique |
explanation | Markdown explanation of what the label means |
bugs | Jira issue keys associated with the label, such as OCPBUGS-12345 |
hide_display_contexts | Optional subset of spyglass, metrics, jaq-options — UI contexts where the label is hidden |
oc-auth skill.detail field of the output.hide_display_contexts values are caught locally and reported before any request is sent (exit 1). Jira keys are checked syntactically without a Jira lookup.Exit Codes:
0: Success1: Validation error, API error, or network erroroc-auth (provides authentication tokens for sippy-auth)list-symptoms (list/inspect labels and symptoms, no auth needed)manage-symptoms (create/update/delete symptoms that apply labels)© openshift-eng, 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 2 other files in plugins/ci/skills/manage-labels of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Manage Labels 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 |
|---|---|---|---|---|---|---|
| Manage Labels this skillopenshift-eng/ai-helpers | 120 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
openshift-eng/ai-helpers
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
openshift-eng/ai-helpers
Fetch and address all PR review comments — categorize by priority, make code changes, post replies, and push.
openshift-eng/ai-helpers
Categorize Jira issues into Red Hat Sankey Activity Type categories using MCP Jira tools.
openshift-eng/ai-helpers
Decide whether a GitHub PR has unanswered authorized review comments or new required CI failures worth a follow-up agent.
openshift-eng/ai-helpers
Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components.
openshift-eng/ai-helpers
Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
Works with
Create, update, or delete Sippy job run Labels (the human-readable tags applied by Symptoms) via the authenticated Sippy API. Manage Labels is an agent skill from openshift-eng/ai-helpers.
Run `npx skills add openshift-eng/ai-helpers --skill manage-labels -a claude-code`. Or copy the skill folder (plugins/ci/skills/manage-labels in openshift-eng/ai-helpers) into .claude/skills/manage-labels in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill manage-labels -a codex`. Or copy the skill folder (plugins/ci/skills/manage-labels in openshift-eng/ai-helpers) into .agents/skills/manage-labels 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 openshift-eng/ai-helpers --skill manage-labels -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/manage-labels, .gemini/skills/manage-labels, .github/skills/manage-labels and .opencode/skills/manage-labels in your project.
Going by SKILL.md and its folder, Manage Labels needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named SIPPY_TOKEN. Our summary lists: Python 3; A credential in SIPPY_TOKEN.
SKILL.md names 2 domains. In commands or code: api.cr.j7t7.p1.openshiftapps.com and sippy-auth.dptools.openshift.org; the agent is likely to contact these when it follows the instructions. 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.
Manage Labels is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Manage Labels: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.
Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.