Link Ticket To Session
JayantDevkar/claude-code-karma
Link the current Claude Code session to a ticket (Linear, Jira, GitHub Issues, or GitHub Pull Requests) and cache its title/status in karma.
Detailed implementation guide for recursively analyzing Jira features and generating comprehensive documentation
$ npx skills add openshift-eng/ai-helpers --skill jira-doc-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers jira-doc-generator --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/jira/skills/jira-doc-generator .claude/skills/jira-doc-generator && 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 "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .claude/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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/jira/skills/jira-doc-generatorType 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 jira-doc-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers jira-doc-generator --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/jira/skills/jira-doc-generator .agents/skills/jira-doc-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .agents/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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 jira-doc-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers jira-doc-generator --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/jira/skills/jira-doc-generator .cursor/skills/jira-doc-generator && 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 "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .cursor/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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/jira/skills/jira-doc-generator--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 jira-doc-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers jira-doc-generator --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/jira/skills/jira-doc-generator .gemini/skills/jira-doc-generator && 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 "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .gemini/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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 jira-doc-generatorInstalls 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 jira-doc-generator -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/jira/skills/jira-doc-generator .github/skills/jira-doc-generator && 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 "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .github/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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 jira-doc-generator -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 jira-doc-generator --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/jira/skills/jira-doc-generator .opencode/skills/jira-doc-generator && 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 "jira-doc-generator" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/jira/skills/jira-doc-generator into .opencode/skills/jira-doc-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jira-doc-generator", 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.
jira-doc-generatorDetailed implementation guide for recursively analyzing Jira features and generating comprehensive documentation
Jira Doc Generator is an agent skill from openshift-eng/ai-helpers. Detailed implementation guide for recursively analyzing Jira features and generating comprehensive documentation
Its SKILL.md is about 2.4k 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 Development. It works with Jira, GitHub and Model Context Protocol. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
5 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.
Shell commands in SKILL.md call:
ghFrom 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:
github.comFrom 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.
Jira Doc Generator loads about 2.4k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 1,018 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). 1,018 words, ~2,352 tokens.
.claude/skills/jira-doc-generator/SKILL.md (or your agent's skills folder).This skill provides detailed step-by-step implementation guidance for the /jira:generate-feature-doc command, which generates comprehensive feature documentation by recursively analyzing a Jira feature and all its related issues and GitHub pull requests.
IMPORTANT FOR AI: This is a procedural skill - when invoked, you should directly execute the implementation steps defined in this document. Do NOT look for or execute external scripts. Follow the step-by-step instructions below, starting with Step 1.
This skill is automatically invoked by the /jira:generate-feature-doc command and should not be called directly by users.
plugins/jira/README.md for setup)gh) installed and authenticated (for analyzing PRs).work/jira/feature-doc/ for output (will be created if needed)Objective: Set up environment and fetch main feature issue.
Actions:
Save initial directory: INITIAL_DIR=$(pwd) (save at start, before any cd commands)
Check prerequisites: Verify jq and gh CLI are installed and authenticated
Create output directory: WORK_DIR=$INITIAL_DIR/.work/jira/feature-doc/<feature-key> (use mkdir -p)
Fetch main feature via getJiraIssue with the feature key. If MCP is unavailable, display error pointing to plugins/jira/README.md.
Parse response: Extract key, summary, description, issuetype, status
Display progress: Show feature summary and type
Important: This step expects PR data as input from the jira:extract-prs skill (invoked by the command file). The input is structured JSON containing all discovered PRs with their metadata.
Input Format:
{
"pull_requests": [
{
"url": "https://github.com/org/repo/pull/123",
"state": "MERGED",
"title": "PR title",
"isDraft": false,
"sources": ["remote_link", "description"],
"found_in_issues": ["ISSUE-123"]
}
]
}Objective: Fetch and analyze PR details to extract implementation information.
Important: This command is for documenting completed features. Only analyze PRs that have been MERGED. Skip OPEN, DRAFT, WIP, or CLOSED (but not merged) PRs.
Actions:
Filter for MERGED PRs: Only analyze PRs with state == "MERGED" AND isDraft == false
isDraft == true (not ready for review)For each MERGED PR, fetch detailed data:
gh pr view {number} --repo {org}/{repo} --json title,body,mergedAt,author,commits,filesgh pr diff {number} --repo {org}/{repo}gh pr view {number} --repo {org}/{repo} --json commentsExtract key information:
Handle errors: If PR inaccessible (403, 404), log warning and continue
Save data: Store metadata, diff, and comments to ${WORK_DIR}/pr-{org}-{repo}-{number}.*
Objective: Organize information into structured outline.
Available sections (calling command specifies which to generate):
Objective: Fill in the outline with actual content based on command requirements.
Section generation guidelines:
Note: Only generate sections specified by the calling command. Check the command file for exact requirements.
Objective: Save documentation and display summary.
Actions:
Write documentation: Save to ${WORK_DIR}/feature-doc.md with footer:
---
*Generated by `/jira:generate-feature-doc` on <timestamp>*
*Source: <feature-key> and <count> related issues*Save metadata: Store analysis log with timestamps, counts, output files, errors/warnings
Display summary:
Issue Not Found (404, 403, network error):
No PRs Found:
GitHub Rate Limit:
Large Feature (>50 PRs):
Malformed Issue Data:
Parallel PR Analysis:
xargs -P 5)Smart Diff Analysis:
--stat to identify key filesProgress feedback: Show progress after each major step (discovery, PR analysis, etc.)
Error resilience: Don't fail the entire process if one PR is inaccessible
Smart synthesis: Don't just concatenate PR descriptions - synthesize into coherent narrative
Context awareness: Understand the codebase domain (e.g., Kubernetes, OpenShift) to better interpret changes
Structured output: Use consistent markdown formatting with proper headers, code blocks, tables
Link preservation: Always provide clickable links to Jira issues and GitHub PRs
Timestamp tracking: Note when PRs were merged to understand timeline
Author attribution: Credit authors of PRs and issues where relevant
Code examples: Include actual code snippets from PRs to illustrate changes
Visual hierarchy: Use tables, lists, and headers to make documentation scannable
User runs: /jira:generate-feature-doc OCPSTRAT-1612
1. Initialize
- Fetch main feature issue (OCPSTRAT-1612)
- Create working directory (.work/jira/feature-doc/OCPSTRAT-1612/)
- Verify prerequisites (jq, gh CLI)
2. Extract PRs (via extract-prs skill)
- Discover descendants using `parent = KEY` BFS → 3 issues total
- Extract PRs from remote links (primary) + text (backup) → 7 PRs
- Fetch PR state from GitHub → 5 MERGED, 1 OPEN, 1 CLOSED
3. Analyze MERGED PRs
- Filter for MERGED PRs → 5 PRs to analyze
- For each: fetch metadata + diff + comments
- Extract implementation details, design decisions
4. Generate Documentation
- Synthesize sections: Overview, Architecture, Implementation, Usage, Testing
- Create tables for issues and PRs
- Write to feature-doc.md
5. Display Results
✅ Documentation generated successfully!
📄 File: .work/jira/feature-doc/OCPSTRAT-1612/feature-doc.md
📊 3 issues, 5 MERGED PRs, ~380 lines generated© 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
Just SKILL.md in plugins/jira/skills/jira-doc-generator of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Jira Doc Generator 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 |
|---|---|---|---|---|---|---|
| Jira Doc Generator this skillopenshift-eng/ai-helpers | 120 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Link Ticket To SessionJayantDevkar/claude-code-karma | 329 | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Issue Triage Loopcobusgreyling/loop-engineering | 11k | — | ~522 | Automated safety check: Pass | MIT | |
| Create Epic RecapDataDog/datadog-agent | 3.8k | — | ~5k | Automated safety check: Notes | Apache-2.0 | |
| Review Release Noteschef/chef-web-docs | 143 | — | ~5.2k | Automated safety check: Pass | Custom licence | |
| Akb Ingestdnotitia/akb | 162 | — | ~2k | Automated safety check: Pass | Custom licence |
JayantDevkar/claude-code-karma
Link the current Claude Code session to a ticket (Linear, Jira, GitHub Issues, or GitHub Pull Requests) and cache its title/status in karma.
cobusgreyling/loop-engineering
Scans open GitHub issues and discussions, flags duplicates, scores priority and proposes labels into issue-triage-state.md without ever labeling or closing.
DataDog/datadog-agent
A skill your agent uses when an engineer or manager asks to recap, summarize, or post an update on a Jira Epic — a progress update for an in-progress Epic (how far along it is, what's shipped so…
chef/chef-web-docs
Read a release notes file and edit it using Jira release data and GitHub pull requests as co-equal, optional sources.
dnotitia/akb
Ingest whatever you point at into an AKB vault — a local file, a web URL, a GitHub PR/release/commit, a Confluence page, or a Jira issue.
databricks-solutions/databricks-apps-cookbook
Connect Databricks Apps to external services using Unity Catalog HTTP connections and retrieve Databricks secrets.
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
Categories
Detailed implementation guide for recursively analyzing Jira features and generating comprehensive documentation. Jira Doc Generator is an agent skill from openshift-eng/ai-helpers.
Jira Doc Generator fits situations like: development work in your project.
Run `npx skills add openshift-eng/ai-helpers --skill jira-doc-generator -a claude-code`. Or copy the skill folder (plugins/jira/skills/jira-doc-generator in openshift-eng/ai-helpers) into .claude/skills/jira-doc-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill jira-doc-generator -a codex`. Or copy the skill folder (plugins/jira/skills/jira-doc-generator in openshift-eng/ai-helpers) into .agents/skills/jira-doc-generator 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 jira-doc-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jira-doc-generator, .gemini/skills/jira-doc-generator, .github/skills/jira-doc-generator and .opencode/skills/jira-doc-generator in your project.
Going by SKILL.md and its folder, Jira Doc Generator needs the command-line tools its instructions call (gh).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it 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.
Jira Doc Generator 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 2.4k tokens (SKILL.md is roughly 9.4k 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 Jira Doc Generator: Link Ticket To Session (JayantDevkar/claude-code-karma, 329 stars), Issue Triage Loop (cobusgreyling/loop-engineering, 11k stars), Create Epic Recap (DataDog/datadog-agent, 3.8k stars) and Review Release Notes (chef/chef-web-docs, 143 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.