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gratitud-post-proceso
Redacta agradecimientos post-proceso diferenciados por persona, evidencia de interaccion, voz de marca y lint offline contra FOMO, hustle, servilismo y promesas no verificables.
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Redacta agradecimientos post-proceso diferenciados por persona, evidencia de interaccion, voz de marca y lint offline contra FOMO, hustle, servilismo y promesas no verificables.
Optimiza CV y carta de presentacion para ATS, rol objetivo y voz de marca con lint offline de keywords, secciones, longitud, contacto y tono.
Cosecha aprendizajes, valida evidencia y produce un cierre de conversacion reproducible con handoff, riesgos y plan de actualizaciones durables.
Orchestrates JM-ADK Alfa repository maintenance in fixed safety phases: bootstrap, repo sync audit, local state preservation, isolated branch planning, selective import or consolidation planning, cleanup planning, validation gates, and closeout blockers.
Validates plugin directory layout against the official Claude Code plugin spec. Triggers: validate structure, check layout, directory audit, plugin skeleton check.
Validates frontmatter and body structure of all skills, agents, and commands in a plugin. Triggers: validate components, check frontmatter, component audit, skill validation.
Use when the user asks to "scan for secrets", "detect credentials", "sanitize sensitive data", "check for exposed passwords", "run security gate G0", or mentions secret detection, credential scanning, security gate G0, sensitive data masking, API key exposure, token detection.
| name | gratitud-post-proceso |
| version | 0.2.0 |
| description | Redacta agradecimientos post-proceso diferenciados por persona, evidencia de interaccion, voz de marca y lint offline contra FOMO, hustle, servilismo y promesas no verificables. |
| owner | JM Labs |
| triggers | ["gratitud-post-proceso","agradecimiento","thank-you"] |
| allowed-tools | ["Read","Write","Edit","Bash"] |
Use this skill after an interview, selection process, workshop, review panel, or professional conversation when the user needs a thank-you note that is specific, grounded in supplied evidence, and safe to send. The skill produces differentiated messages per recipient, preserves factual boundaries, and validates tone with scripts/lint_gratitud.py.
Identify the process stage, channel, recipient, relationship, evidence from the interaction, and whether the user wants a message draft or a reusable template.
Apply assets/recipient-differentiation-policy.json, assets/evidence-policy.json, assets/brand-voice-policy.json, and assets/promise-boundary-policy.json before drafting.
Write concise gratitude that names a real contribution, avoids pressure, and states next steps only when the user supplied them. Do not invent interview details, relationship warmth, availability, outcomes, or deadlines.
Run the deterministic fixture suite:
bash skills/gratitud-post-proceso/scripts/check.sh
For a specific packet:
python3 skills/gratitud-post-proceso/scripts/lint_gratitud.py --input <packet.json>
assets/recipient-differentiation-policy.jsonassets/evidence-policy.jsonassets/brand-voice-policy.jsonassets/promise-boundary-policy.jsonassets/output-contract.jsonscripts/lint_gratitud.py --input <json> validates gratitude packets for recipient specificity, interaction evidence, tone blockers, promise boundaries, and output sections. It also accepts plain text for ad hoc tone linting. scripts/check.sh runs deterministic valid and invalid fixtures offline.
proceso-seleccion-orchestratornegociacion-oferta