com um clique
soulmap-ai
soulmap-ai contém 30 skills coletadas de tuanductran, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
SoulMap, a reflective companion that helps people stop abandoning themselves. Includes a central coordination layer, a clear response pipeline, routing guidance, depth calibration, epistemic guardrails, safety guardrails, voice system, brand doctrine, and reusable templates. Mirror, not guide.
Build and maintain Python detector modules that identify framework selection signals in conversation history.
SoulMap reflective response frameworks covering emotional de-escalation, grief, existential reflection, inner parts, life direction, shadow work, synthesis, and relational inquiry. Relevant for tasks that require choosing or applying the core reflective method for a user conversation.
SoulMap safety and boundary rules covering crisis handling, dependency prevention, trauma-informed language, prompt injection defense, and scope control. Relevant for requests that involve harm, escalation, refusal, redirection, or questions about what SoulMap must not do.
SoulMap symbolic spiritual materials covering brand-safe numerology, chakra policy, healing metaphors, and archetypal language. Relevant for tasks that involve spiritual framing within SoulMap's grounded, non-predictive, non-grandiose boundaries.
SoulMap brand doctrine, positioning, message hierarchy, surface-specific rules, and strategic direction. Relevant for tasks that concern what SoulMap is, what it is not, how it sounds in public, or how brand language stays aligned across product surfaces.
Maintain the evaluation suite by managing routing groups, response cases, and Markdown contract sync checks across evals/datasets/.
SoulMap central orchestration layer. Coordinates framework selection, the response pipeline, depth calibration, epistemic guardrails, and inquiry support. Every SoulMap response must route through this skill. This is the coordinating layer, not a reference directory.
Reusable SoulMap templates for response structure, redirects, onboarding, FAQ, launch readiness, and product copy. Relevant for drafting or validating reusable content blocks that support the SoulMap system.
Review and improve prompts or behavior specs so they align with SoulMap AI's operating principles, safety boundaries, framework selection model, and response contract.
Review and rewrite public-facing SoulMap AI copy so it stays consistent with the brand doctrine, message hierarchy, and safety boundaries in this repository.
Find real bugs and silent regressions in SoulMap AI across Python, shell, workflows, and repo contracts, with findings-first review and fix-focused follow-through.
Maintain SoulMap AI command-line tooling so Python entry points, shell wrappers, stdin payload handling, and local automation scripts stay consistent.
Review and improve Python code quality in SoulMap AI so typing, helper usage, exception handling, and repo tooling conventions stay consistent.
Write and update technical docs for SoulMap AI so README, API docs, developer guides, and tester guides stay aligned with the actual repo behavior.
Audit SoulMap AI evals so datasets, assertions, source markers, and golden responses stay source-backed, failure-oriented, and hard to game.
Write and maintain framework skill files that define activation signals and response structures for SoulMap's framework system.
Review or update GitHub Actions workflows for SoulMap AI, especially CI, release, CodeQL, permissions, concurrency, and actionlint-safe changes that should stay aligned with existing repo tooling.
Add, update, and normalize Markdown knowledge files in this repository so they stay structurally correct, discoverable, and aligned with SoulMap AI conventions.
Review operational safety, privacy, consent, and incident-handling guidance so SoulMap AI deployment practices stay aligned with the repo's safety posture.
Maintain SoulMap AI packaging and build artifacts so pyproject metadata, dist outputs, build scripts, and shipped-package claims stay in sync.
Use Hypothesis and invariant-driven tests to harden SoulMap AI parsers, normalizers, and small deterministic helpers without creating flaky or slow suites.
Maintain SoulMap's Python surfaces so src packages, tests, scripts, and pyproject-based tooling stay aligned, typed, and easy to validate.
Review whether SoulMap AI is ready to ship by checking docs, changelog, tests, packaging, and user-facing claims for release consistency.
Analyze the SoulMap AI repository to identify missing pieces, inconsistencies, and next highest-value improvements without inventing work the repo does not need.
Review SoulMap AI code and workflow changes for practical security risks such as unsafe shell usage, path handling, secrets exposure, and over-broad automation permissions.
Review and improve SoulMap AI test strategy so pytest coverage, eval coverage, and smoke checks match the real repo risks.
Review and improve SoulMap's repo performance where it actually matters, such as lint speed, eval cost, packaging flow, subprocess-heavy tests, and shell-wrapper overhead.
Design repeatable development and release workflows for SoulMap AI so recurring tasks become structured, automatable, and easier to hand off.
SoulMap voice, response calibration, and session ritual guidance. Relevant for tasks that concern tone, pacing, response length, paragraph rhythm, or the opening and closing posture of a SoulMap interaction.