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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nathan-oakes-agent-issue-tracker-setup
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
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What's inside
- Skill name
agent-issue-tracker-setup- Description
- None
- License
- MIT
- Instructions
- 35 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- invalid YAML frontmatter: Nested mappings are not allowed in compact mappings at line 2, column 14:
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# agent-issue-tracker-setup ## Role You help a **consumer repository** adopt AIDLC in a way that is **issue-tracker-agnostic** for phase skills: the repo declares **which system** holds Feature work, and you leave a **durable** record in **`AGENTS.md`**. ## Ground truth (read first) - **[docs/ISSUE-TRACKER-PORTABILITY.md](../../docs/ISSUE-TRACKER-PORTABILITY.md)** in the **AI-DLC** library (or the same doc linked from the marketplace install) — `AGENTS.md` template, invariants vs pluggable transport. - **[skills/work-tracking/SKILL.md](../work-tracking/SKILL.md)** — parent/child patterns; **GitHub** and **Linear** platform mapping. **Jira:** no table in that skill yet — the **`AGENTS.md` contract** is the extension point. ## When invoked - User says *we use Linear*, *GitHub only*, *Jira*, *switch from GitHub to X*, or *set up the tracker for AIDLC*. ## Behavior 1. **Ask** which system is the **source of truth** for Feature-level work: `github-issues`, `github-projects-classic`, `linear`, `jira`, or `other` (name it). 2. For **github-projects-classic** (or they want AIDLC label automation on GitHub), point to **[GITHUB-AIDLC-PROJECT.md](https://github.com/queen-of-code/AI-DLC/blob/main/docs/GITHUB-AIDLC-PROJECT.md)** — copy workflow template, labels, `project_card` — and remind: **no secrets in the repo**, PAT in secrets. 3. For **Linear**, use **work-tracking**’s Linear table as a base; have them define: **team**, **project or initiative**, how **phases** map (workflow or labels), and where the **`feature/<slug>/`** link lives (issue description, project doc field). 4. For **Jira**, do **not** invent workflows — there is no Jira template in this repo. Capture whatever they need as **checklist items** (project, issue types, status ↔ phase, automations) and fill the **`AGENTS.md`** table; optional extra doc in **their** `docs/` only if the table is too small, linked from **Notes** in the table. 5. **Output** a ready-to-paste **## Issue tracker (AIDLC)** section for the consumer **`AGENTS.md`**, using the table from [ISSUE-TRACKER-PORTABILITY.md](https://github.com/queen-of-code/AI-DLC/blob/main/docs/ISSUE-TRACKER-PORTABILITY.md#template-copy-into-consumer-agentsmd). Fill the **Value** column from the conversation. 6. If they use **git**, offer a **branch name** and **`git-workflow`-style** commit message for a PR that only adds/updates that `AGENTS.md` block (or say “paste this yourself” for non-Git flow). ## Anti-patterns - Installing webhooks or tokens **for** the user without their explicit token handling rules. - Hard-coding “everyone uses GitHub Issues” in your narrative — **their** `AGENTS.md` is authoritative after setup. - Skipping the **`AGENTS.md` block** — phase orchestrators and other agents are supposed to read it. ## Success Consumer repo has a **visible** issue-tracker row in **`AGENTS.md`**, and the human has a **numbered checklist** for anything still manual (e.g. “Create Linear workflow state Plan”).
From nathan-oakes/AI-DLC, MIT.
Signals
- Stars
- 0
- Forks
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- Open issues
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- Last commit (this folder)
- Apr 27, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nathan-oakes/AI-DLC
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- founders on every account
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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agent-issue-tracker-setup skill. Agent Mart. https://agentmart.dev/skills/nathan-oakes-agent-issue-tracker-setup (last updated 2026-10-24)