| name | quests |
| description | Track and guide humans through complex multi-step real-world processes. Use when a user needs help with a bureaucratic, legal, technical, or any multi-step procedure that requires organized tracking, step-by-step guidance, and progress monitoring. Triggers on requests like "help me with this process", "guide me through", "track this project", "create a quest", or any complex task that benefits from being broken into manageable steps presented one at a time. Also triggers for existing quests: "how's my quest going", "what's next on [process]", "update my progress". This is for multi-session/multi-day processes, not simple one-off tasks. The quest replaces scattered memory files โ it IS the memory for long-running processes. |
Quests โ Guided Process Framework
A standardized framework for AI agents to track and guide humans through complex long-term tasks. The quest is the single source of truth โ context, decisions, contacts, risks, and progress live inside the quest, not scattered across memory files.
Philosophy
- One step at a time:
quest next shows only the current task โ no overwhelm
- Quest as memory:
quest context gives the agent everything needed in minimal tokens
- Living document: Steps can be added, removed, reordered, and modified at any time
- Human-friendly:
quest brief generates summaries suitable for messaging
CLI: skills/quests/scripts/quest.py (symlink as quest)
Data stored at $WORKSPACE/data/quests.json. Quest IDs are auto-generated from names (slugified).
Conventions
- Auto-resolution: When only one quest is active, the quest argument is optional
- Fuzzy matching: Quests match by exact ID, ID prefix, or name substring
- Optional args:
quest done with no step completes the current active step
Quick Start
quest new "Fix car" --priority high --deadline 2026-06-01
quest add car "Get documents" --desc "Gather all paperwork"
quest substep car 1 "Find insurance certificate"
quest learn car "Tax exemption requires 12 months abroad"
quest decide car "Use contract dates as proof" --reason "No PERE registration"
quest contact car "Agency" --phone "555-1234" --role "Tax office"
quest next car
quest done car 1.1
quest context car
Resuming a Quest (New Session)
quest list
quest context myquest
quest next myquest
Commands Reference
Quest lifecycle:
new <name> [--desc] [--priority low|medium|high] [--deadline DATE] [--tags a,b]
list [--all] โ list active (or all including archived)
delete <quest> [--archive] โ archive is reversible, delete is permanent
Steps (fully flexible):
add <quest> <title> [--desc] โ append a step
insert <quest> <position> <title> [--desc] โ insert at specific position
remove <quest> <step> โ remove a step or substep (e.g. 3 or 2.1)
substep <quest> <step> <title> โ add substep to a step
done [quest] [step] โ complete step/substep (auto-advances to next)
skip [quest] [step] โ skip a step
block <quest> <step> <reason> โ mark step as blocked
unblock <quest> <step> โ unblock
edit <quest> [step] [--title] [--desc] โ edit step or quest-level fields
reorder <quest> <step> <position> โ move step to new position
Context & Memory (the core feature):
learn <quest> <fact> โ record a key fact (quest-level, affects all steps)
decide <quest> <decision> [--reason] โ record a decision with rationale
risk <quest> <concern> โ flag a risk or concern
note <quest> <step> <text> โ add a note to a specific step (step-level)
summarize <quest> <text> โ update the high-level context summary
context [quest] [--json] โ compact context dump (~500-1500 chars)
brief [quest] โ human-friendly summary for async messaging
log [quest] [-n LIMIT] โ timestamped activity log
learn vs note: Use learn for facts that affect the whole quest ("Tax exemption requires 12 months"). Use note for step-specific info ("Carlos said he has the CoC already").
Metadata:
meta <quest> [--priority] [--deadline] [--tags a,b] [--remove]
contact <quest> [name] [--phone] [--email] [--role] [--url] โ add or list contacts
link <quest> [url] [--label] โ add or list reference links
Templates:
template save <quest> [template_name] โ save quest structure as reusable template
template list โ list available templates
template use <template> [quest_name] โ create new quest from template
Display:
next [quest] โ current step only (for presenting to human)
show [quest] [-v] โ full quest with all steps and context
status [quest] โ quick progress overview
Export:
export <quest> [--file path] โ markdown export
json [quest] โ raw JSON (all quests if no arg)
Agent Guidelines
When (Not) to Create a Quest
- Create: Multi-session processes, bureaucratic tasks, anything >3 steps spanning multiple days
- Don't create: Simple one-off tasks, quick lookups, things that fit in one conversation
Starting a New Quest
- Create with
quest new โ set priority and deadline if known
- Add 5-12 steps with
quest add (use substeps for granularity)
- Record initial facts with
quest learn
- Add contacts, links, and risks as discovered
- Present first step with
quest next
Session Resumption
At the start of any session involving an existing quest:
quest list โ check what's active
quest context <id> โ reload full state (replaces reading memory files)
quest next <id> โ see where the human left off
During the Process
- Record everything: facts (
learn), decisions (decide), risks (risk)
- Update summary with
quest summarize as understanding evolves
- Add/remove/reorder steps freely as the process changes
- Use
quest brief when messaging the human asynchronously (WhatsApp/Discord recap)
- Use
quest next in interactive conversation
Presenting to Humans
- Always use
quest next โ never show the full step list unprompted
- When human completes something โ
quest done โ auto-advances
- When blocked โ
quest block with clear reason
- When human provides info โ
quest learn or quest note
Multiple Active Quests
Auto-resolution only works with one active quest. When multiple are active, always specify the quest ID explicitly.
Quest Completion
When all steps are done, the quest auto-completes. Consider:
quest export <quest> --file to save a permanent record
quest template save if the process might repeat
quest delete <quest> --archive to clean up while preserving data
Token Efficiency
quest context outputs ~500-1500 chars with full situational awareness
- No need for separate memory files, trackers, or project docs
- The quest IS the memory โ facts, decisions, contacts, risks, all in one place
- Use
quest context --json for structured programmatic access