Skip to main content
Glama
Saaalil
by Saaalil

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": true
}
resources
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
workforce_list_rolesA

List all Workforce specialist contexts with short flags (DE, UI, SRE, …), full ids, aliases, and what each specialty owns. Use before workforce_as if unsure which specialist context fits the work. This is a context catalog — not a hiring roster.

workforce_asA

Load full specialist context into the agent for a task (skills, stack defaults, quality bars, anti-patterns, handoffs). The agent must investigate the repo, then reply with Goal / Blocking questions (0–3 with defaults) / Assumptions / Plan and stop until approved (unless the change is trivially small). Use when the user says workforce/UI, workforce/DE, DE, Backend, SRE, Ops, etc. This is NOT hiring people — it equips the agent to do that specialty of work at full potential. Short flags: DE UI FE BE DS ML AI ARCH OPS SRE MON SEC QA MGR. Orchestration: workforce_discuss, workforce_delegate.

workforce_specializeA

Alias of workforce_as — load specialist context for the agent to perform specialized work. Not a hiring tool.

workforce_consultA

Mid-task check against an already-loaded specialty's quality bars and decision frameworks (short flag or full id). Not hiring — specialist judgment for a blocker or decision.

workforce_handoffA

Switch the agent's specialist context from one specialty to another (e.g. ARCH→FE, DE→AI, OPS→SRE) with a clean brief. Not a personnel handoff — a context switch so the next slice of work uses the right skills and quality bars.

workforce_discussA

Run a multi-role discussion on an idea (scrum, critique, premortem, war room, retro, design review, or postmortem theater). Surfaces challenges from each specialty POV, then recommends a sequence — not hiring, not parallel implement-everything.

workforce_delegateA

Manager-style work breakdown: which specialty owns which slice, in what order, with acceptance criteria and workforce/FLAG invoke hints. Use after discuss or when the user asks who should do what.

Prompts

Interactive templates invoked by user choice

NameDescription
workforce/discussScrum-style (or critique/premortem/postmortem theater) discussion across Workforce specialties — challenges from each POV, then a recommended sequence.
workforce/scrumScrum-style (or critique/premortem/postmortem theater) discussion across Workforce specialties — challenges from each POV, then a recommended sequence.
workforce/postmortemFull-cast postmortem: every specialty owns exactly one corrective action. Topic = the failure story.
workforce/postmortem_theaterFull-cast postmortem: every specialty owns exactly one corrective action. Topic = the failure story.
workforce/delegateBreak work into specialty-owned slices with order, acceptance, and workforce/FLAG invoke hints.
workforce/plan_workBreak work into specialty-owned slices with order, acceptance, and workforce/FLAG invoke hints.
workforce/architectLoad Software Architect (ARCH) specialist context: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ARCHLoad Software Architect (ARCH) specialist context: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/saLoad Software Architect (ARCH) specialist context: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/software_architectLoad Software Architect (ARCH) specialist context: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/system_architectLoad Software Architect (ARCH) specialist context: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ui_designerLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/UILoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/uidLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/uxLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ux_designerLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ui_designLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/product_designerLoad UI Designer (UI) specialist context: Ships production UI outcomes and eng-ready specs — not concept art. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/frontendLoad Frontend Engineer (FE) specialist context: Ships UI that survives production traffic — RSC-first, measurable perf and a11y. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/FELoad Frontend Engineer (FE) specialist context: Ships UI that survives production traffic — RSC-first, measurable perf and a11y. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/front_endLoad Frontend Engineer (FE) specialist context: Ships UI that survives production traffic — RSC-first, measurable perf and a11y. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/web_frontendLoad Frontend Engineer (FE) specialist context: Ships UI that survives production traffic — RSC-first, measurable perf and a11y. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/backendLoad Backend Engineer (BE) specialist context: Designs APIs and services for failure — contracts, idempotency, and observability day one. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/BELoad Backend Engineer (BE) specialist context: Designs APIs and services for failure — contracts, idempotency, and observability day one. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/back_endLoad Backend Engineer (BE) specialist context: Designs APIs and services for failure — contracts, idempotency, and observability day one. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/apiLoad Backend Engineer (BE) specialist context: Designs APIs and services for failure — contracts, idempotency, and observability day one. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/data_engineerLoad Data Engineer (DE) specialist context: Ships reliable governed data products — SLAs, contracts, and replayable pipelines. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/DELoad Data Engineer (DE) specialist context: Ships reliable governed data products — SLAs, contracts, and replayable pipelines. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/data_engLoad Data Engineer (DE) specialist context: Ships reliable governed data products — SLAs, contracts, and replayable pipelines. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/etlLoad Data Engineer (DE) specialist context: Ships reliable governed data products — SLAs, contracts, and replayable pipelines. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/data_scientistLoad Data Scientist (DS) specialist context: Optimizes decisions with experimental and statistical rigor — specs and evidence, not serving infra. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/DSLoad Data Scientist (DS) specialist context: Optimizes decisions with experimental and statistical rigor — specs and evidence, not serving infra. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ml_engineerLoad ML Engineer (ML) specialist context: Owns model lifecycle in production — train/serve parity, registry, canary, drift response. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/MLLoad ML Engineer (ML) specialist context: Owns model lifecycle in production — train/serve parity, registry, canary, drift response. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/mleLoad ML Engineer (ML) specialist context: Owns model lifecycle in production — train/serve parity, registry, canary, drift response. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/model_engineerLoad ML Engineer (ML) specialist context: Owns model lifecycle in production — train/serve parity, registry, canary, drift response. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ai_engineerLoad AI Engineer (AI) specialist context: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/AILoad AI Engineer (AI) specialist context: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/aieLoad AI Engineer (AI) specialist context: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/llmLoad AI Engineer (AI) specialist context: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/ragLoad AI Engineer (AI) specialist context: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/opsLoad Platform / DevOps Engineer (OPS) specialist context: Ships reliable delivery platforms — CI/CD, infra as code, environments, and developer self-service. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/platform_engLoad Platform / DevOps Engineer (OPS) specialist context: Ships reliable delivery platforms — CI/CD, infra as code, environments, and developer self-service. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/platform_engineerLoad Platform / DevOps Engineer (OPS) specialist context: Ships reliable delivery platforms — CI/CD, infra as code, environments, and developer self-service. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/doeLoad Platform / DevOps Engineer (OPS) specialist context: Ships reliable delivery platforms — CI/CD, infra as code, environments, and developer self-service. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/sreLoad Site Reliability Engineer (SRE) specialist context: Owns reliability as a product — SLOs, error budgets, incident response, and sustainable operations. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/site_reliabilityLoad Site Reliability Engineer (SRE) specialist context: Owns reliability as a product — SLOs, error budgets, incident response, and sustainable operations. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/site_reliability_engineerLoad Site Reliability Engineer (SRE) specialist context: Owns reliability as a product — SLOs, error budgets, incident response, and sustainable operations. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/monitoringLoad Monitoring / Observability Engineer (MON) specialist context: Makes systems explain themselves — metrics, logs, traces, continuous profiling, and actionable alerts. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/MONLoad Monitoring / Observability Engineer (MON) specialist context: Makes systems explain themselves — metrics, logs, traces, continuous profiling, and actionable alerts. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/securityLoad Security Engineer (SEC) specialist context: Threat-models and hardens systems — authn/z, secrets, supply chain, and secure defaults without theater. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/SECLoad Security Engineer (SEC) specialist context: Threat-models and hardens systems — authn/z, secrets, supply chain, and secure defaults without theater. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/qaLoad QA / Quality Engineer (QA) specialist context: Protects user trust with risk-based test strategy — automation, critical journeys, and release gates. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/qeLoad QA / Quality Engineer (QA) specialist context: Protects user trust with risk-based test strategy — automation, critical journeys, and release gates. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/managerLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/MGRLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/emLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/eng_managerLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/engineering_managerLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/delivery_leadLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/pm_engLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.
workforce/scrum_masterLoad Engineering Manager / Delivery Lead (MGR) specialist context: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft. Agent investigates, then Goal / Blocking questions / Assumptions / Plan and stops until approved. Not hiring.

Resources

Contextual data attached and managed by the client

NameDescription
workforce-role-architectOwns expensive-to-change system decisions — constraints first, ADRs second, diagrams last
workforce-role-flag-archShort flag for architect: Owns expensive-to-change system decisions — constraints first, ADRs second, diagrams last
workforce-role-ui_designerShips production UI outcomes and eng-ready specs — not concept art
workforce-role-flag-uiShort flag for ui_designer: Ships production UI outcomes and eng-ready specs — not concept art
workforce-role-frontendShips UI that survives production traffic — RSC-first, measurable perf and a11y
workforce-role-flag-feShort flag for frontend: Ships UI that survives production traffic — RSC-first, measurable perf and a11y
workforce-role-backendDesigns APIs and services for failure — contracts, idempotency, and observability day one
workforce-role-flag-beShort flag for backend: Designs APIs and services for failure — contracts, idempotency, and observability day one
workforce-role-data_engineerShips reliable governed data products — SLAs, contracts, and replayable pipelines
workforce-role-flag-deShort flag for data_engineer: Ships reliable governed data products — SLAs, contracts, and replayable pipelines
workforce-role-data_scientistOptimizes decisions with experimental and statistical rigor — specs and evidence, not serving infra
workforce-role-flag-dsShort flag for data_scientist: Optimizes decisions with experimental and statistical rigor — specs and evidence, not serving infra
workforce-role-ml_engineerOwns model lifecycle in production — train/serve parity, registry, canary, drift response
workforce-role-flag-mlShort flag for ml_engineer: Owns model lifecycle in production — train/serve parity, registry, canary, drift response
workforce-role-ai_engineerShips LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch
workforce-role-flag-aiShort flag for ai_engineer: Ships LLM/agent/RAG product systems with evals, traces, and cost controls — compose models, do not train from scratch
workforce-role-opsShips reliable delivery platforms — CI/CD, infra as code, environments, and developer self-service
workforce-role-sreOwns reliability as a product — SLOs, error budgets, incident response, and sustainable operations
workforce-role-monitoringMakes systems explain themselves — metrics, logs, traces, continuous profiling, and actionable alerts
workforce-role-flag-monShort flag for monitoring: Makes systems explain themselves — metrics, logs, traces, continuous profiling, and actionable alerts
workforce-role-securityThreat-models and hardens systems — authn/z, secrets, supply chain, and secure defaults without theater
workforce-role-flag-secShort flag for security: Threat-models and hardens systems — authn/z, secrets, supply chain, and secure defaults without theater
workforce-role-qaProtects user trust with risk-based test strategy — automation, critical journeys, and release gates
workforce-role-managerDelegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft
workforce-role-flag-mgrShort flag for manager: Delegates work across specialties, sequences handoffs, and runs multi-role reviews — owns outcomes and clarity, not every craft

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Saaalil/Workforce-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server