[Feature]: Skill resources for presets (copy-mode aware composition and preset-owned resources)
Mantenedores costumam responder em até 1 dia
Ninguém assumiu esta issue ainda.
Avaliação
- Dificuldade
- 5/5
- Tempo estimado
- Mais de uma semana
- Facilidade para iniciantes
- 35/100
Direção de pesquisa
Start with presets/_resolver.py at PresetResolver.resolve_content and compare its path rewriting with the copy-mode handling from #5366. Then read extensions/_skill_resources.py and the extension resource lifecycle tests to trace validation, copying, registry ownership, and removal. Done means the acceptance criteria define stacked resource ownership and preset removal behavior, with matching tests for composition and resource lifecycle.
Escrita pelo modelo de indexação a partir do texto da issue.
Descrição
Problem Statement
#5366 lets extension commands declare resources that are copied into their generated agent skills ("copy mode"; skill bodies are not path-rewritten). Presets are not covered:
- Composition: when a preset overrides a copy-mode extension command with
append/prepend/wrap,PresetResolver.resolve_content(presets/_resolver.py~l.789) still appliesrewrite_extension_pathsto the extension base layer. The composed skill therefore references.specify/extensions/<id>/...instead of the copied skill-relative resources. It still resolves, but is inconsistent with copy mode. - Preset-owned resources: presets that override or provide skills cannot bundle their own resources (references, templates, scripts) into the skill directory.
Proposed Solution
- Make preset composition copy-mode aware for skill outputs: when the winning base layer is a copy-mode extension command and the output is a skill, do not rewrite its paths. Command/template consumers keep today's rewriting.
- Add an optional
resourceslist to preset command/template entries inpreset.yml(same pattern dialect as extensionresources), copied into the preset's skill output with hash-tracked ownership in the preset registry, reusing the extension resource helper (extensions/_skill_resources.py).
Alternatives Considered
- Keep presets on extension-local paths only (today's behaviour): works, but preset authors cannot ship skill-relative files.
- Only fix composition (item 1) and defer preset-owned resources.
Component
Presets / skills rendering
AI Agent (if applicable)
All SKILL.md-based integrations
Use Cases
- A team preset appends review rules to an extension skill and ships its own
references/team-rules.md. - A preset wraps a copy-mode extension command and the composed skill should keep skill-relative references.
Acceptance Criteria
- Composed skill bodies over a copy-mode extension base are not path-rewritten; non-skill outputs unchanged.
- Preset
resourcesare validated like extension resources and copied as regular files. - Ownership defined for path conflicts between an extension and one or more presets writing the same skill directory (who wins, who owns, what happens on preset removal and priority changes).
- Defined behaviour for stacked layers (
append/prepend/wrap): whose resources are copied. - On
preset remove, preset-owned resources are removed and the extension's resources/skill are restored. - Tests mirror the extension resource lifecycle tests.
Additional Context
Deferred out of #5366 by design; that change only restores extension copy-mode skills (with resources) after preset remove.
AI Disclosure
Drafted with the pi coding agent (orchestrator model: Claude Opus 5.5 via GitHub Copilot; implementation/review subagents: GPT-6.1-terra, GPT-6-astra), human-supervised by the filer. Reproductions were run locally by the agent and reviewed by the filer before filing.
- Linguagem predominante
- Python
- Estrelas
- 149k
- Forks
- 13.4k
- Merge médio
- 1d 5h
- PRs com merge (30d)
- 223
Preparar o ambiente
Inicia o contêiner de desenvolvimento do projeto no navegador, com a sua própria conta do GitHub.
- Sem Dockerfile nem arquivo Docker Compose
- Tem um modelo de pull request
- Ler o guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Mais de github/spec-kit
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 68/100
Mantenedores costumam responder em até 1 dia
-
triage-must-have
Dificuldade 1/5 Menos de uma hora Facilidade para iniciantes 78/100
Mantenedores costumam responder em até 1 dia
-
Workflow-step verifier test fixture breaks when the checkout path contains whitespace (4 failures on macOS)Talvez já em andamento @mehdikarimi55 assumiu há 3 dias. Abertatriage-can-wait
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 83/100
Mantenedores costumam responder em até 1 dia
-
Parity tests fail under the documented direct pytest invocation when the ambient python3 lacks PyYAML (11 failures)Talvez já em andamento @mehdikarimi55 assumiu há 3 dias. Abertatriage-must-have
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 82/100
Mantenedores costumam responder em até 1 dia
-
bug triage-out-of-scope
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 64/100
Mantenedores costumam responder em até 1 dia
Todas as issues de github/spec-kit
Issues semelhantes
-
bug
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 80/100
glossyio/traffic-monitor#312 ·
Mantenedores costumam responder em até 1 dia
-
local devenv exampleAbertadocumentation enhancement
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 76/100
es-ude/elastic-ai.creator#1046 ·
Mantenedores costumam responder em até 3 dias
-
ENH: permit cachetools >= 7Abertafeature request
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 65/100
Mantenedores costumam responder em até 1 dia
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 72/100
confident-ai/deepteam#306 ·
Mantenedores costumam responder em até 1 dia
-
SslLibrary crashes with unhandled OSError: port/proto not found on non-standard SSL portsTalvez já em andamento @himanchalkaushale assumiu hoje. Aberta
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 82/100
OWASP/Nettacker#1884 · 1 comentário ·
Mantenedores costumam responder em até 1 dia