joenandez/spectre-labs

spectre-agent-tools

Use this skill when you see @name or /name patterns in user input without file identifiers. This means the user is trying to call a subagent or slash command using Spectre Agent Tools. The @ prefix dispatches to a subagent (e.g., '@tdd-agent write tests',…

Langue du texte source : anglais

feature-build-loop

Use when modifying build loop code, debugging stats/token tracking, adding CLI features, changing iteration prompts, or understanding how spectre-build works end-to-end

Langue du texte source : anglais

feature-plan-loop

Use when modifying the plan loop, debugging plan stages, changing clarification flow, scope isolation, or understanding how spectre-build --plan works end-to-end

Langue du texte source : anglais

feature-ship-loop

Use when modifying the ship loop, debugging ship stages, changing clean/test/rebase behavior, or understanding how spectre-build --ship works end-to-end

Langue du texte source : anglais

spectre-recall

Use when user wants to search for existing knowledge, recall a specific learning, or discover what knowledge is available.

Langue du texte source : anglais

strategy-scaling-architecture

Use when planning product scaling, adding GUI/server layers, multi-model support, adversarial reviews, live steering, telemetry, scheduling/triggers, or node-based pipeline editors to spectre-build

Langue du texte source : anglais

feature-pipeline-abstraction

Use when working with pipeline stages, completion strategies, build loop orchestration, or the web GUI for spectre-build

Langue du texte source : anglais

sparks-apply

Use when starting implementation, debugging, or feature work on a project with captured knowledge.

Langue du texte source : anglais

feature-sparks-plugin

Use when modifying sparks plugin, debugging hooks, adding knowledge categories, or understanding how knowledge capture works

Langue du texte source : anglais

sparks-learn

Use when user invokes /learn or wants to save patterns, decisions, gotchas, procedures, or feature knowledge from a conversation for later re-use. Look for user requests like "please remember" or "what did we learn from this?".

Langue du texte source : anglais