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SkillsMP a collecté 19 skills depuis snowfluke/my-tech-lead-flow. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 19 skills collectés sur 19.
Write the body of a GitHub release. Use whenever the user asks to cut, tag, publish, draft, or rewrite a release or its notes, in any project. Covers the split between CHANGELOG (complete record) and release notes (user-facing), leading with a measured…
Langue du texte source : anglais
Use after completing a task when all verifications pass. Covers verification commands, splitting into logical commits, explicit file staging, Conventional Commits format with 80-char line cap, no `@` mentions in messages, no Co-Authored-By trailers, and…
Langue du texte source : anglais
Generate the project CLAUDE.md as a dense, agent-facing operating manual in the Terral/Tatanan format, at the end of the documentation pipeline just before build starts. Distills the technical specs, coding standard, task breakdown, and deployment plan into…
Langue du texte source : anglais
Generate full-background editorial illustrations in Anthropic's hand-drawn visual language: warm or muted opaque color fields, irregular ivory carrier shapes, and bold black gestural linework. Use when the user asks for an Anthropic-style, Claude-style,…
Langue du texte source : anglais
Produce the api-specs/ document set (numbered NN-topic.md files plus _index.md) from the technical specs, in the Terral/Tatanan format. Derives every operation, its inputs/outputs, errors, and access rules from the module definitions and data model already…
Langue du texte source : anglais
Scaffold a new project as the Tech Lead would in Sprint 0, after the task breakdown and before coding standards are written. Grills on folder structure, architectural patterns, commit hooks, tooling, and stubs, then executes the scaffold: directory layout,…
Langue du texte source : anglais
Produce the technical-specs/ document set (numbered NN-topic.md files plus _index.md) from the groomed business docs, in the Terral/Tatanan format. Grills the user on tech stack and tooling first — this is the architectural keystone the rest of the pipeline…
Langue du texte source : anglais
Groom a set of user stories and acceptance criteria from the technical team's perspective, surfacing every gap engineering needs closed before committing to the work. Runs in two modes — blast all questions into a file with recommendations (for taking to a…
Langue du texte source : anglais
Optional pre-pipeline skill for when there are no user stories or acceptance criteria yet. Interviews the user about a raw product idea, then synthesizes the result into the Markdown table of user stories, acceptance criteria, and a sprint breakdown that the…
Langue du texte source : anglais
Author a project's CODING_STANDARD.md and CODE_REVIEW_CHECKLIST.md by inferring the conventions already present in the codebase, then filling gaps with sensible defaults the user confirms. Language- and stack-agnostic. Produces standards a reviewer can cite…
Langue du texte source : anglais
Act as the Tech Lead and break a set of user stories + acceptance criteria into a sprint-by-sprint, role-assigned task board in the project's TASK_BREAKDOWN.md format. Reads docs/business first, asks for team size and roles, splits work into Backend/Frontend…
Langue du texte source : anglais
Produce a DEPLOYMENT_PLAN.md operational runbook by first grilling the user on infrastructure, environments, secrets, release flow, and rollback until every gap is resolved, then writing the document. Models the Tatanan/Terral deployment plan — environments,…
Langue du texte source : anglais
Act as a tech lead reviewing a pull request against the project's own coding standards and review checklist, in any language. Discovers the repo's standards docs, checks out the PR branch in an isolated git worktree, runs the project's test / lint / format /…
Langue du texte source : anglais
Stand up the GitHub project from the task breakdown, after coding standards are set. Converts every TASK_BREAKDOWN card into an issue (assigned to the right teammate, labelled, milestoned per sprint, placed in the board Backlog), creates the Projects v2…
Langue du texte source : anglais
Author the orientation document set that gets a newcomer (human or agent) productive — README.md, GLOSSARY.md, DEVELOPMENT_SCENARIO_GUIDE.md, and ONBOARDING_GUIDE.md — by reading the codebase and existing project docs, then writing what is actually true.…
Langue du texte source : anglais
Convert user stories and acceptance criteria pasted as a markdown table into the project's Gherkin (Given/When/Then) format, grouped by sprint goal. Use when the user pastes a US/AC table and wants it reformatted into per-sprint Gherkin acceptance-criteria…
Langue du texte source : anglais
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or…
Langue du texte source : anglais
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Langue du texte source : anglais
Produce a TROUBLESHOOTING.md guide organized by symptom. With no real incident corpus yet, it grills the user to map the system's architecture and seams (DB, cache, proxy, external APIs, auth, build/deploy), then scaffolds the likely failure modes at each…
Langue du texte source : anglais