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feat(integrations): add Devin for Terminal skills-based integration (#2364)
* feat(integrations): add Devin for Terminal skills-based integration - Register DevinIntegration as a SkillsIntegration with .devin/skills/ layout - Add catalog entry, docs row, and supported-agents listing - Display /speckit-<command> hyphen syntax in init "Next Steps" panel (matches Claude/Cursor/Copilot skills mode, since Devin invokes skills by directory name) Closes #2346 * fix(devin): implement -p non-interactive dispatch; clarify skills comment Addresses Copilot review on PR #2364: - Override build_exec_args() in DevinIntegration to emit 'devin -p <prompt> [--model X]' for non-interactive text dispatch (verified Devin CLI supports -p / --print). Returns None when output_json=True since Devin has no structured-output flag, so CommandStep workflows that require JSON cleanly raise NotImplementedError instead of crashing on an unknown CLI flag. requires_cli=True is retained for tool detection. - Extend the skills-integrations enumeration comment in specify_cli/__init__.py to include copilot and devin so the comment matches the code below it. * fix(devin): always return exec args; document plain-text stdout Addresses third Copilot review comment on PR #2364. Returning None from build_exec_args() when output_json=True incorrectly used the codebase's IDE-only sentinel: workflow CommandStep checks 'impl.build_exec_args("test") is None' to detect non-dispatchable integrations (test_workflows.py exercises this with WindsurfIntegration). The previous implementation made Devin appear non-dispatchable to all command steps even though it runs fine via 'devin -p'. Always return the args list. When output_json is requested, Devin is still dispatched and returns plain-text stdout instead of structured JSON; the docstring documents this explicitly. * docs(devin): include claude in skills-integrations enumeration comment Addresses Copilot review on PR #2364: the comment listing skills integrations omitted Claude, which is also a SkillsIntegration subclass. Updated to keep the comment accurate for future readers. * test(devin): add build_exec_args regression tests; bump catalog updated_at Addresses Copilot review on PR #2364, per @mnriem's request to 'address the Copilot feedback, especially the testing ask': - tests/integrations/test_integration_devin.py: add TestDevinBuildExecArgs with three regression assertions: * build_exec_args returns args (not the None IDE-only sentinel) * --output-format is never emitted, regardless of output_json * --model flag is passed through correctly - integrations/catalog.json: bump top-level updated_at to reflect the Devin entry addition so downstream catalog consumers can detect the change reliably.
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@@ -1528,7 +1528,7 @@ def init(
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step_num = 2
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# Determine skill display mode for the next-steps panel.
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# Skills integrations (codex, kimi, agy, trae, cursor-agent) should show skill invocation syntax.
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# Skills integrations (codex, claude, kimi, agy, trae, cursor-agent, copilot, devin) should show skill invocation syntax.
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from .integrations.base import SkillsIntegration as _SkillsInt
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_is_skills_integration = isinstance(resolved_integration, _SkillsInt) or getattr(resolved_integration, "_skills_mode", False)
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@@ -1539,7 +1539,8 @@ def init(
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trae_skill_mode = selected_ai == "trae"
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cursor_agent_skill_mode = selected_ai == "cursor-agent" and (ai_skills or _is_skills_integration)
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copilot_skill_mode = selected_ai == "copilot" and _is_skills_integration
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native_skill_mode = codex_skill_mode or claude_skill_mode or kimi_skill_mode or agy_skill_mode or trae_skill_mode or cursor_agent_skill_mode or copilot_skill_mode
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devin_skill_mode = selected_ai == "devin"
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native_skill_mode = codex_skill_mode or claude_skill_mode or kimi_skill_mode or agy_skill_mode or trae_skill_mode or cursor_agent_skill_mode or copilot_skill_mode or devin_skill_mode
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if codex_skill_mode and not ai_skills:
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# Integration path installed skills; show the helpful notice
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@@ -1551,6 +1552,9 @@ def init(
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if cursor_agent_skill_mode and not ai_skills:
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steps_lines.append(f"{step_num}. Start Cursor Agent in this project directory; spec-kit skills were installed to [cyan].cursor/skills[/cyan]")
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step_num += 1
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if devin_skill_mode:
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steps_lines.append(f"{step_num}. Start Devin in this project directory; spec-kit skills were installed to [cyan].devin/skills[/cyan]")
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step_num += 1
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usage_label = "skills" if native_skill_mode else "slash commands"
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def _display_cmd(name: str) -> str:
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@@ -1560,7 +1564,7 @@ def init(
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return f"/speckit-{name}"
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if kimi_skill_mode:
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return f"/skill:speckit-{name}"
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if cursor_agent_skill_mode or copilot_skill_mode:
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if cursor_agent_skill_mode or copilot_skill_mode or devin_skill_mode:
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return f"/speckit-{name}"
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return f"/speckit.{name}"
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@@ -56,6 +56,7 @@ def _register_builtins() -> None:
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from .codex import CodexIntegration
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from .copilot import CopilotIntegration
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from .cursor_agent import CursorAgentIntegration
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from .devin import DevinIntegration
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from .forge import ForgeIntegration
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from .gemini import GeminiIntegration
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from .generic import GenericIntegration
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@@ -86,6 +87,7 @@ def _register_builtins() -> None:
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_register(CodexIntegration())
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_register(CopilotIntegration())
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_register(CursorAgentIntegration())
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_register(DevinIntegration())
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_register(ForgeIntegration())
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_register(GeminiIntegration())
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_register(GenericIntegration())
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65
src/specify_cli/integrations/devin/__init__.py
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65
src/specify_cli/integrations/devin/__init__.py
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@@ -0,0 +1,65 @@
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"""Devin for Terminal integration — skills-based agent.
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Devin uses the ``.devin/skills/speckit-<name>/SKILL.md`` layout and
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reads project context from ``AGENTS.md`` at the repo root. The CLI
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binary is ``devin`` and skills are invoked via ``/<name>`` inside an
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interactive ``devin`` session.
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See: https://cli.devin.ai/docs/extensibility/skills/overview
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"""
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from __future__ import annotations
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from ..base import IntegrationOption, SkillsIntegration
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class DevinIntegration(SkillsIntegration):
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"""Integration for Cognition AI's Devin for Terminal."""
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key = "devin"
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config = {
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"name": "Devin for Terminal",
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"folder": ".devin/",
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"commands_subdir": "skills",
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"install_url": "https://cli.devin.ai/docs",
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"requires_cli": True,
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}
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registrar_config = {
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"dir": ".devin/skills",
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"format": "markdown",
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"args": "$ARGUMENTS",
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"extension": "/SKILL.md",
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}
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context_file = "AGENTS.md"
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def build_exec_args(
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self,
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prompt: str,
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*,
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model: str | None = None,
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output_json: bool = True,
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) -> list[str] | None:
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"""Build non-interactive CLI args for Devin for Terminal.
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Devin supports ``devin -p <prompt>`` for single-turn execution
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and ``--model`` for model selection, but its CLI has no flag
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for structured JSON output. When ``output_json`` is requested,
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Devin is still dispatched normally and returns plain-text
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stdout instead of structured JSON. ``requires_cli=True`` is
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kept on the integration for tool detection.
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"""
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args = [self.key, "-p", prompt]
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if model:
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args.extend(["--model", model])
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return args
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@classmethod
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def options(cls) -> list[IntegrationOption]:
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return [
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IntegrationOption(
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"--skills",
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is_flag=True,
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default=True,
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help="Install as agent skills (default for Devin)",
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),
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]
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