Install
$ agentstack add skill-ulises-jeremias-agent-toolkit-dev-companion ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Dev Companion (WHAT) — general layer (L2)
This skill is the general dev companion for work. It does not replace assistant (orchestrator); it sits above workflows and names what to invoke next.
Language: English for ticket comments, PR text, and user-facing outputs when this companion drives delivery work.
Layering
| Layer | Skill | Role | | --- | --- | --- | | L1 | assistant | Repo inspection order, conflict resolution, fallback | | L2 (this skill) | dev-companion | Companion framing: modes, gates, delegation for client work | | L3 | Workspace pack overlay | Client/account-specific context loaded from ~/.ai-workspace/packs/ |
If engagement triggers match, load the appropriate workspace pack overlay first, then proceed with workflow-generic-project. Do not mix multiple workflow drivers on the same task.
Mode selection
- Default for /client delivery: use workflow-generic-project for phased delivery.
- If the user mentions an engagement, ticket prefix, or repo context → load the matching pack from the workspace (overlay) and apply its boundaries/gates.
- If unclear → ask before applying L3.
Delegation (HOW is in other skills)
| Need | Delegate to | | --- | --- | | Discovery, AGENTS conflict handling | assistant | | Generic client delivery phases | workflow-generic-project | | Planning / default workflow / validation | planning / development-workflow | | Work items, incidents, meetings, decisions, agreements, spikes | work-item, incident, meeting-minutes, decision-log, agreement, spike | | Project assessments, evidence maps, technical/management unit scorecards | project-assessment, project-assessment-evidence, technical-unit-assessment, management-unit-assessment | | ClickUp | clickup-cli | | Jira | External jira- pack (jira-assistant router; CLI: jira-as) | | Confluence | External confluence- pack (confluence-assistant router; CLI: confluence-as or confluence) | | Draft PR GitHub / GitLab | github-cli-workflow / gitlab-cli-workflow (for default body when the repo has no template: pr-fallback first) | | Where to save deliverables + human review | output-handshake | | UI depth | figma / figma-implement-design | | Workstation health | triage |
Do not paste forge or ticket CLI sequences here.
Operating modes
- Interactive (default): IDE session; user steers each step.
- Queued job (optional): only when a local runner is configured; see
~/.local/share//dev-companion/README.md(installed from chezmoi) and references/LOOP_GUARDRAILS.md.
The queue worker is mandatory infrastructure (installed by workstation). The workspace (~/.ai-workspace) is optional — it provides project-aware wrappers, job templates, and knowledge base integration. When both are present, the runner automatically enriches LLM prompts with workspace context (projects.yaml, projects/, knowledge/todos/).
LLM policy gate (client engagements)
Before queueing background jobs for a client repo, confirm the active LLM policy with devcompanion llm-status. If the engagement requires a single AI account (e.g. only the customer's Anthropic key), the workstation/pack must set DOTS_WORKSTATION_DEVCOMPANION_LLM_ALLOWLIST and DOTS_WORKSTATION_DEVCOMPANION_LLM_STRICT=1 so the runner fails closed instead of falling back to OpenCode. For Cursor/Copilot-only engagements, prefer run-once --no-llm (skeleton plan) plus IDE-driven execution. Full reference: docs/DEV_COMPANION_LLM.md.
Checklist
- [ ] L3 not needed; if needed, user confirmed engagement context
- [ ] assistant discovery pass before large edits
- [ ] workflow-generic-project phases and gates when doing generic client delivery
- [ ] Tool skills used for all CLI operations
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ulises-jeremias
- Source: ulises-jeremias/agent-toolkit
- License: MIT
- Homepage: https://ulises-jeremias.github.io/agent-toolkit-archive/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.