* feat: add Zed integration * fix: update integrations stats grid to 31 for consistency * fix: address Copilot review feedback - Remove non-actionable --skills flag from ZedIntegration (Zed is always skills-based, like Agy) - Align zed_skill_mode predicate with ai_skills for consistency across init output and hook rendering - Consolidate claude/cursor/zed slash-skill return blocks in _render_hook_invocation to reduce duplication - Override test_options_include_skills_flag for Zed (no --skills flag) * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix: address Copilot review round 2 - Make zed_skill_mode unconditional in hook rendering (Zed is always skills-based, no --skills option) - Add test_init_persists_ai_skills_for_zed that exercises the actual CLI init path and verifies HookExecutor renders /speckit-plan without manual init-options manipulation * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix: address copilot review feedback for zed integration - Update integration count from 31 to 33 in docs/index.md (32 integrations + Generic) - Make zed_skill_mode unconditional to match extensions.py behavior - Consolidate slash-skill integrations into a set for consistency - Move os import to module level in test_integration_zed.py * fix: refine slash-skill logic and ai-skills validation - Fix slash-skill integrations: Claude/Cursor require ai_skills=true; Zed/Agy/Devin are always skills - Allow --ai-skills with --integration (not just --ai) to fix validation error * fix: remove unused variables and update ai-skills help text - Add agy_skill_mode and devin_skill_mode variables to fix F841 lint error - Use all skill mode variables in the slash-skill conditional check - Update --ai-skills help text to reflect it works with --integration too * fix: add trae_skill_mode to hook invocation for consistency Trae is a SkillsIntegration like Zed/Agy/Devin, so it should also be treated as always-skills-based in hook invocation rendering. * fix: make Agy always skills-based for consistency AgyIntegration is a SkillsIntegration subclass with no --skills option, so it should be treated as always skills-based (like Zed, Devin, Trae). This aligns init.py skill mode detection with extensions.py hook rendering. * fix: gate agy_skill_mode and refactor _render_hook_invocation to use sets Addressed Copilot review comments: - Restored _is_skills_integration guard on agy_skill_mode in init.py to be defensive about runtime integration type. - Refactored _render_hook_invocation() in extensions.py to use always_slash/conditional_slash frozensets instead of individual per-agent booleans, eliminating unused variables (F841) and making it harder for conditions to drift between integrations. - Centralized slash-skill determination so adding a new unconditional slash-skill integration is a one-key addition. * fix: address latest Copilot review comments - Added copilot to CONDITIONAL_SLASH_AGENTS for consistent hook invocation rendering with init.py - Moved always_slash/conditional_slash frozensets to module scope to avoid per-call reallocation - Replaced manual os.chdir() with monkeypatch.chdir() in test - Overrode test_options_include_skills_flag for Zed (no --skills) * fix: address latest Copilot review comments - Removed redundant local import yaml in _register_extension_skills (yaml is already imported at module scope) - Split --ai-skills usage hint into two separate print statements for better readability - Changed integrations count from '33' to '30+' to avoid future drift * fix: re-add _is_skills_integration definition lost in merge The _is_skills_integration variable was accidentally dropped during the web UI merge resolution of upstream/main's removal of legacy --ai flags. Re-added the definition via isinstance(resolved_integration, SkillsIntegration) check so that skill-mode booleans work correctly. * fix: gate zed_skill_mode on _is_skills_integration for consistency Aligns zed_skill_mode with the other skills-based agents (codex, claude, cursor-agent, copilot) which all use _is_skills_integration gating. Since ZedIntegration extends SkillsIntegration, behavior is unchanged. * fix: remove unused claude_skill_mode and cursor_skill_mode locals in _render_hook_invocation These variables became unused after the refactor to ALWAYS_SLASH_AGENTS / CONDITIONAL_SLASH_AGENTS sets. Claude and Cursor-Agent are now handled by the CONDITIONAL_SLASH_AGENTS path, so the separate boolean locals are dead code. Fixes ruff F841 and addresses Copilot review feedback that was repeated across multiple review rounds. * fix: align agy/trae invocation format in init next-steps with hook rendering and build_command_invocation - Moved agy and trae from '-<name>' (dollar/Codex format) to '/speckit-<name>' (slash format) in _display_cmd() to match: - HookExecutor._render_hook_invocation() (ALWAYS_SLASH_AGENTS for trae, CONDITIONAL_SLASH_AGENTS for agy) - SkillsIntegration.build_command_invocation() (default: /speckit-<name>) - The '$' prefix is specific to Codex; all other skills agents use '/'. * fix: address Copilot review comments on hook invocation consistency - Add is_slash_skills_agent() helper to extensions.py to centralize the agent-to-invocation-format mapping, reducing drift risk between HookExecutor._render_hook_invocation() and init.py _display_cmd() - Use the shared helper in both locations; init.py now imports and delegates to is_slash_skills_agent() instead of maintaining its own per-agent boolean matrix - Fix test_hooks_render_skill_invocation to use ai_skills=False, proving Zed renders /speckit-<name> unconditionally - Add parameterized TestSlashSkillsSets covering all agents in ALWAYS_SLASH_AGENTS and CONDITIONAL_SLASH_AGENTS with ai_skills both true and false * fix: address Copilot review comments on type safety and test API - Make is_slash_skills_agent() accept str | None to match its call sites (init_options.get("ai") can return None) - Refactor TestSlashSkillsSets to use public execute_hook() API instead of private _render_hook_invocation() method * fix: address Copilot review comments on typing and naming clarity - Add from __future__ import annotations to extensions.py so PEP 604 unions (str | None) are safe regardless of Python version - Add clarifying _ai_skills_enabled local variable in init.py's _display_cmd() to make the semantic meaning explicit when passing it to is_slash_skills_agent() * fix: move invocation-style logic into shared _invocation_style module - Extract ALWAYS_SLASH_AGENTS, CONDITIONAL_SLASH_AGENTS, and is_slash_skills_agent() from extensions.py into new _invocation_style.py module, eliminating the awkward init.py -> extensions.py import dependency for invocation-style decision logic - Both HookExecutor._render_hook_invocation() and init.py _display_cmd() now import from the shared module instead of one subsystem importing from the other - Revert /SKILL.md change: the leading slash is semantically significant (path component vs filename suffix) * fix: add None guard before i.options() in test_options_include_skills_flag get_integration() returns IntegrationBase | None, so i.options() is a type error without a None check. * fix: override test_options_include_skills_flag for Zed (always skills, no --skills flag) Zed is always skills-based and doesn't expose a --skills option. Override the inherited base test to assert --skills is absent. * fix: rename test and skip inherited test_options_include_skills_flag for Zed - Skip inherited test_options_include_skills_flag (not applicable — Zed is always skills-based with no --skills flag) - Add test_options_do_not_include_skills_flag with correct name matching the assertion (--skills is absent) * fix: add defensive non-string check in is_slash_skills_agent Reject non-string values for selected_ai to prevent TypeError from set membership checks when persisted init-options contain corrupted data (e.g. list or dict instead of string). --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
5.2 KiB
GitHub Spec Kit
Define what to build before building it — with any AI coding agent.
Spec Kit is a toolkit for Spec-Driven Development (SDD), a methodology that puts specifications at the center of AI-assisted software development. Instead of jumping straight to code, you describe what to build, refine it through structured phases, and let your AI coding agent implement it.
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The core SDD process ships ready to use: Spec → Plan → Tasks → Implement.
Define what to build before building it. Rich templates, quality checklists, and cross-artifact analysis come out of the box. Each phase produces a Markdown artifact that feeds the next — giving your AI coding agent structured context instead of ad-hoc prompts.
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Last updated: May 27, 2026