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GitHub 저장소

engram

engram에는 aiconnai에서 수집한 skills 8개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
8
Stars
1
업데이트
2026-06-22
Forks
1
직업 범위
직업 카테고리 3개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

dependency-triage
소프트웨어 개발자

Use for an Engram dependency triage loop that watches advisories and lockfiles, proposes patch-only updates, rejects major upgrades without approval, and records reproducible verification commands.

2026-06-22
loop-triage-ci
소프트웨어 개발자

Use for an Engram CI sweeper triage loop that groups CI failures, classifies root causes, caps attempts, and proposes bounded minimal-fix candidates only after budget, denylist, and verifier gates.

2026-06-22
loop-triage
소프트웨어 개발자

Use for an Engram daily triage loop that safely collects and classifies CI, issue, PR, commit, and chat signals into report-only handoff state with bounded scope, no auto-fix, and loop-run-log updates.

2026-06-22
pr-review-triage
소프트웨어 개발자

Use for an Engram PR babysitter triage loop that monitors PR aging, CI blocks, reviewer threads, and lightweight action proposals with isolated-worktree fix candidates and human escalation for risky changes.

2026-06-22
loop-engineering
소프트웨어 개발자

Use when designing, implementing, auditing, hardening, or operating agent loops in this repository, including Claude Code/Grok Build/Codex style `/loop` workflows, explicit `/goal` runs, Git worktree orchestration, MCP and memory automation, sub-agent execution, STATE.md handoffs, cost controls, maker/checker verification, and the Engram security gate (full `sensors.sh` + AgentShield scan + `just ci`). Loops default to L1 report-only; autonomous execution against Engram requires a reviewed ADR per the harness security contract.

2026-06-21
agentshield-scan
정보 보안 분석가

Weekly or manual security triage loop that executes AgentShield with a hard iteration cap and records the result in a repository state file.

2026-06-16
engram-council
프로젝트 관리 전문가

Run structured consensus with Engram's `memory_council` tool and `CouncilSkill` SDK wrappers for architecture, design, policy, security, reliability, performance, ADR, or tradeoff decisions. Use when the user asks for consensus, council review, multi-agent-style review, decision rationale, option comparison, or mentions `llm-council`, `memory_council`, or `CouncilSkill`. Do not use for simple lookup, single-answer retrieval, or execution-only coding tasks after a decision is already made.

2026-06-04
engram-onboarding
소프트웨어 개발자

Bootstrap an AI agent's engram memory session in a new repository. Guides through loading prior context, project scan, workspace setup, first memory creation, search, and session close. Use when starting work in a repo that has engram configured, when setting up memory for the first time, or when a new agent needs to establish context. Skip if the session is already active and workspaces are already configured.

2026-06-03