القائمة
Guide concise technical responses. USE WHEN replies need direct, low-noise engineering prose.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
USE WHEN a pre-sales lead, delivery lead, architect, or commercial lead needs to qualify a software delivery opportunity, shape an estimate, recommend a delivery approach, or produce a proposal. Triggers include: "can we estimate this?", "what should our Phase 1 be?", "help me shape this bid", "is this ready to price?", "write me a question pack for the client", "what delivery model fits this?", "calibrate this estimate", "red flag check", "how should we staff this?", or any conversation involving pre-sales qualification, scoping, effort sizing, or delivery model selection. Also use it whenever the user shares a project brief, RFP, or opportunity description and wants estimation or proposal support, even without the word "estimate". V3.1 covers AI-native delivery readiness, agentic tooling maturity, architectural review and AI showcase engagement shapes, quality-gate calibration, CreateFuture Activation sizing with named triggers, and the Activation compression trap.
Create reusable agent specs from role templates and output-format templates. USE WHEN you need a reusable agent or subagent spec for a defined role and target format.
Generate presentation slides from pasted content. USE WHEN the user says create slides based on this or asks to turn text into slides.
Create or update skills through route-specific templates and validation. USE WHEN you need portable skill authoring without repo-specific tooling.
Customise this agent to the user's context and preferences. USE WHEN agent context should reflect company, role, project, or communication preferences.
Guide a small deployment task with optional runbooks. USE WHEN deployment guidance needs progressive disclosure.
| name | answer-style |
| description | Guide concise technical responses. USE WHEN replies need direct, low-noise engineering prose. |
