#601

Globales Ranking · von 601 Skills

trekker AI Agent Skill

Quellcode ansehen: oakoss/agent-skills

Safe

Installation

npx skills add oakoss/agent-skills --skill trekker

34

Installationen

Trekker

Overview

Trekker is a CLI-based issue tracker designed for AI coding agents. It stores data locally in SQLite (.trekker/trekker.db) and supports epics, tasks, subtasks, dependencies, comments, full-text search, and an audit history log. Use --toon on any command for token-efficient output.

When to use: Agent work session tracking, local task management, kanban-style workflows, dependency-aware task ordering, checkpoint comments for context persistence across sessions.

When NOT to use: Team-wide project management (use GitHub Issues/Linear), real-time collaboration, remote-first workflows, CI/CD-integrated issue tracking.

Essential Commands

trekker init
trekker --toon ready
trekker --toon task list --status in_progress
trekker --toon task list --status todo
trekker --toon task list --epic EPIC-1
trekker --toon task show TREK-1
trekker --toon epic list
trekker --toon epic show EPIC-1
trekker --toon comment list TREK-1
trekker --toon search "query" --type task
trekker --toon list --status in_progress
trekker --toon history --entity TREK-1
trekker epic create -t "Title" -d "description" -p 2
trekker task create -t "Title" -d "description" -e EPIC-1 -p 2 --tags "a,b"
trekker subtask create TREK-1 -t "Title" -d "description" -p 2
trekker task update TREK-1 -s in_progress
trekker task update TREK-1 -s completed
trekker epic complete EPIC-1
trekker dep add TREK-2 TREK-1
trekker comment add TREK-1 -a "agent" -c "Summary: what was done and which files changed"

Statuses — Tasks/Subtasks: todo, in_progress, completed, wont_fix, archived | Epics: todo, in_progress, completed, archived

Priority — 0 critical, 1 high, 2 medium (default), 3 low, 4 backlog, 5 someday

Valid Flags by Command

Only use flags listed here. Do NOT guess or invent flags.

Command Valid flags
epic create -t -d -p -s
epic list --status
epic update -t -d -p -s
epic show/complete/delete (no flags, just ID)
task create -t -d -p -s -e --tags
task list --status --epic
task update -t -d -p -s -e --tags --no-epic
task show/delete (no flags, just ID)
subtask create -t -d -p -s
subtask update -t -d -p -s
subtask list/delete (no flags, just ID)
comment add -a -c (both required)
comment update -c
comment list/delete (no flags, just ID)
dep add/remove (no flags, two IDs)
dep list (no flags, just ID)
search --type --status --limit --page --rebuild-index
history --entity --type --action --since --until --limit --page
list --type --status --priority --since --until --sort --limit --page
ready (no flags)
wipe -y

Flags that do NOT exist (agents commonly hallucinate these):

  • --offset — use --page and --limit instead
  • --assignee — trekker has no assignee field
  • --label — use --tags on task create/update instead
  • --verbose / --json / --quiet — use --toon for compact output, default is verbose
  • --filter — use --status, --type, --priority as separate flags
  • --sort on task list — only available on trekker list
  • --all — not a flag on any command
  • --force / -f — only wipe accepts -y
  • --name / -n — use -t / --title instead

When unsure about flags, run --help on any command:

trekker --help
trekker task --help
trekker task create --help

Common Mistakes

Mistake Correct Pattern
Creating task without searching first Always trekker search "keyword" before creating to avoid duplicates
Completing task without summary comment Add Summary: comment with what was done and which files changed
Not using --toon flag Always use --toon to reduce token usage in agent contexts
Forgetting to set in_progress before working Set status before starting so other agents know the task is claimed
Using epic delete instead of epic complete epic delete silently orphans tasks; use epic complete to archive them
Dependency direction reversed dep add TREK-2 TREK-1 means TREK-2 depends on TREK-1 (TREK-1 blocks TREK-2)
Not adding checkpoint comments before context reset Add Checkpoint: comment with done items, next steps, and affected files
Coding before planning Create epic and break into tasks with dependencies before writing code
Vague task descriptions Include implementation steps, files to modify, and acceptance criteria
Searching without type filter Use --type task or --status in_progress to narrow results
Empty search query trekker search "" FTS5 rejects empty strings; always provide a search term
Using wont_fix when task is just deferred wont_fix = will never do; use archived for deferred or superseded work
comment add missing -a or -c Both -a (author) and -c (content) are required
Running trekker init twice Not idempotent; errors if .trekker/ already exists
Forgetting to gitignore .trekker/ Add .trekker/ to .gitignore after init unless sharing task state

Delegation

  • Task discovery and prioritization: Use Explore agent to scan codebase and identify work
  • Multi-task execution: Use Task agent for parallel subtask completion

References

Installationen

Installationen 34
Globales Ranking #601 von 601

Sicherheitsprüfung

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Warnungen: 0 Bewertung: 90
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So verwenden Sie diesen Skill

1

Install trekker by running npx skills add oakoss/agent-skills --skill trekker in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für trekker, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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