Agent skill

Spec Kitty Runtime Next

by spec-kitty in spec-kitty/spec-kitty

Drive the canonical spec-kitty next --mission <handle control loop for mission advancement.

MITAuto-check passedDevelopment

Install Spec Kitty Runtime Next

skills CLI
$ npx skills add spec-kitty/spec-kitty --skill spec-kitty-runtime-next -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install spec-kitty/spec-kitty spec-kitty-runtime-next --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/spec-kitty/spec-kitty.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/charter/offering/skills/spec-kitty-runtime-next .claude/skills/spec-kitty-runtime-next && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spec-kitty-runtime-next
GitHub stars
1.7k
Token cost
~5.2k tokens
SKILL.md length
1,731 words
Files
3 (incl. references)
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Drive the canonical spec-kitty next --mission <handle control loop for mission advancement.

  • Works in 6 steps: Load Runtime Context → Run the Next Command → Interpret the Result → …
  • Development work in your project
  • SKILL.md covers When to Use This Skill, How the Runtime-Next System…, Doctrine-Aware Step Execution and Step 1: Load Runtime Context, plus 9 more sections
  • Calls jq

What it does

Spec Kitty Runtime Next is an agent skill from spec-kitty/spec-kitty. Drive the canonical spec-kitty next --mission <handle control loop for mission advancement. Load agent profiles at init, apply action-scoped doctrine context at each step boundary, and pull specific tactics/directives on demand. Triggers: "run the next step", "what should runtime do next", "advance the mission", "what is the next task", "continue the workflow", "what step comes next". Does NOT handle: setup or repair requests, purely editorial glossary or doctrine maintenance, or direct code review.

Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/blocked-state-recovery.md` and `references/runtime-result-taxonomy.md`).

It sits in Development. The repository describes itself as: Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and… The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “run the next step”
  • “what should runtime do next”
  • “advance the mission”
  • “/spec-kitty-runtime-next”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Load Runtime Context
  2. Run the Next Command
  3. Interpret the Result
  4. Handle decision_required
  5. Handle Blocked States
  6. The Agent Loop

What it can do on your machine

Read from SKILL.md and the folder at commit 4cabb90. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spec Kitty Runtime Next loads about 5.2k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 1,731 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~5.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from spec-kitty/spec-kitty at commit 4cabb90, republished under its MIT licence (© spec-kitty). 1,731 words, ~5,177 tokens.

Download SKILL.mdSave it as .claude/skills/spec-kitty-runtime-next/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
spec-kitty-runtime-next
description
Drive the canonical spec-kitty next --mission <handle> control loop for mission advancement. Load agent profiles at init, apply action-scoped doctrine context at each step boundary, and pull specific tactics/directives on demand. Triggers: "run the next step", "what should runtime do next", "advance the mission", "what is the next task", "continue the workflow", "what step comes next". Does NOT handle: setup or repair requests, purely editorial glossary or doctrine maintenance, or direct code review.

spec-kitty-runtime-next

This skill teaches agents how to advance a Spec Kitty mission through the canonical runtime control loop, including doctrine-aware context loading at each step boundary.

When to Use This Skill

Use this skill when the user wants to:

  • Advance a mission to its next step
  • Understand what the runtime will do next
  • Unblock a stalled mission
  • Interpret runtime outcomes (step, blocked, decision_required, terminal)

How the Runtime-Next System Works

The spec-kitty next command is the single entry point for agent-driven mission execution. Each call returns a deterministic decision about what action the agent should take next.

Decision Algorithm

The runtime evaluates state in this order:

  1. Mission state machine — Current phase and available transitions (from mission-runtime.yaml DAG)
  2. WP iteration check — For implement and review steps, the CLI bridge manages WP-level iteration WITHOUT advancing the runtime. The runtime only advances when ALL WPs reach terminal/handoff lanes.
  3. Guard conditions — Required artifacts, prerequisites, dependency graph
  4. Priority ordering — Reviews before implementations, higher-priority WPs first, dependency-free WPs before dependent ones
WP Iteration Logic (Critical)

The CLI bridge (not the runtime) manages WP-level iteration:

  • If current step is implement or review
  • AND there are WPs in planned or in_progress lanes
  • THEN return a WP-level decision without advancing the runtime step
  • The runtime step only advances when ALL WPs are in terminal/handoff lanes (done, approved, or for_review)

This means multiple calls to spec-kitty next during implementation will return different WP IDs but the same step_id (e.g., "implement") until all WPs are done.

Mission Runtime YAML Schema

Missions define steps as a DAG (directed acyclic graph) with dependencies:

yaml
mission:
  key: software-dev
  name: Software Dev Kitty
  version: "2.1.0"

steps:
  - id: discovery
    title: Discovery & Research
    depends_on: []
    prompt_template: research.md

  - id: specify
    depends_on: [discovery]
    prompt_template: specify.md

  - id: plan
    depends_on: [specify]
    prompt_template: plan.md

  - id: tasks
    depends_on: [plan]

  - id: implement
    depends_on: [tasks]
    prompt_template: implement.md

  - id: review
    depends_on: [implement]
    prompt_template: review.md

  - id: accept
    depends_on: [review]
    prompt_template: accept.md
Decision Kinds

Every call to spec-kitty next returns exactly one decision kind:

KindMeaningAgent Action
stepNormal action availableRead prompt_file and execute
queryRead-only current-state previewInspect state; do not execute a prompt or mark a result
decision_requiredRuntime needs inputAnswer with --answer and --decision-id
blockedGuards failing, cannot proceedRead reason + guard_failures, resolve blockers
terminalMission completeRun /spec-kitty.accept; if it passes, merge, then: mission review → author or verify retrospective (retrospect create) → surface findings (summary aggregates; synthesize reviews proposals)
Decision Output Fields
json
{
  "kind": "step",
  "agent": "claude",
  "mission_slug": "042-test-mission",
  "mission": "software-dev",
  "mission_state": "implementing",
  "action": "implement",
  "wp_id": "WP02",
  "workspace_path": ".worktrees/042-test-mission-lane-b",
  "prompt_file": "/tmp/spec-kitty-next-claude-042-test-mission-implement-WP02.md",
  "reason": null,
  "guard_failures": [],
  "progress": {
    "total_wps": 5,
    "done_wps": 1,
    "approved_wps": 0,
    "in_progress_wps": 1,
    "planned_wps": 3,
    "for_review_wps": 0
  },
  "run_id": "abc123",
  "step_id": "implement",
  "decision_id": null,
  "question": null,
  "options": null
}
6 Guard Primitives

Guards block step transitions by returning failure descriptions:

GuardSyntaxChecks
artifact_existsartifact_exists("spec.md")File exists relative to mission dir
gate_passedgate_passed("review_gate")Gate event in mission-events.jsonl
all_wp_statusall_wp_status("approved_or_done")All WPs in a specific lane or named accepted-ready set
any_wp_statusany_wp_status("for_review")At least one WP in lane
input_providedinput_provided("architecture")Input exists in runtime model
event_countevent_count("review", 1)Minimum event count threshold

Guards never raise exceptions — they return false on missing context.

Prompt File Generation

The runtime generates a temp file at: /tmp/spec-kitty-next-{agent}-{mission_slug}-{action}[-{wp_id}].md

Template actions (specify, plan, tasks): Mission context header + governance context + action-specific template content.

WP actions (implement, review): Full isolation-aware prompt containing:

  1. WP header with workspace path
  2. Governance context (paradigms, directives, tools)
  3. WP Isolation Rules — DO only modify this WP's status, DO NOT change other WPs or react to their status changes
  4. Working directory and review commands
  5. WP file content (from tasks/WP##.md)
  6. Completion instructions

Decision prompts: Question text, options, and the --answer command to run.

Run Persistence

Runtime state is persisted between calls:

.kittify/runtime/
├── feature-runs.json       # Index: {"mission-slug": {"run_id": "...", "run_dir": "..."}}
└── runs/
    └── <run_id>/
        └── state.json      # Runtime snapshot (current step, inputs, etc.)
Mission Detection

When --mission is omitted, the runtime detects the mission via (in order):

  1. SPECIFY_MISSION environment variable
  2. Git branch name (mission and lane branches both encode the mission slug)
  3. Current directory path (walks up looking for ###-mission-name)
  4. Single mission auto-detect (only if exactly one mission exists)
  5. Error with guidance if ambiguous

NOTE: Always use --mission <slug> in multi-mission repositories.


Doctrine-Aware Step Execution

The runtime-next loop should load doctrine context iteratively — not all at once. Each step boundary is a context loading opportunity.

Agent Profile at Init

At the start of a session, resolve the active agent profile. This scopes your role, boundaries, and initialization context.

Load the profile using the Python API — do NOT read YAML files directly:

python
from charter.activation.doctrine_service_builder import build_activation_aware_doctrine_service

service = build_activation_aware_doctrine_service(project_root)

# resolve_profile()'s specializes_from lineage traversal is a repository
# operation, not available on the filtered `agent_profiles` dict — reach it
# through the pinned lineage/mutation accessor:
repo = service.agent_profile_repository
profile = repo.resolve_profile("<profile-id>")  # e.g. "implementer"

# Internalize identity — acknowledge this at session start
print(profile.initialization_declaration)

# Respect scope boundaries
profile.specialization.primary_focus       # What you actively do
profile.specialization.avoidance_boundary  # What you must NOT do
profile.collaboration.handoff_to           # Roles to defer to when out of scope

# Load only the directives this profile references (same `service`, gated dict)
for ref in profile.directive_references:
    directive = service.directives.get(f"DIRECTIVE_{ref.code}")

Discovery (if you don't know your profile-id):

bash
spec-kitty agent profile list
spec-kitty agent profile show <profile-id>
Action-Scoped Context at Each Step

At each step boundary (when spec-kitty next returns a step decision), load governance context scoped to the current action — not the full doctrine:

bash
# Load only what's relevant to this action (compact after first load)
spec-kitty charter context --action implement --json

The context system uses two depth levels:

DepthWhenContent
bootstrap (depth-2)First load for this actionFull policy summary + reference list
compact (depth-1)Subsequent loadsResolved paradigms, directives, tools only

First-load state is tracked per action in .kittify/charter/context-state.json. This means implement and review each get their own first-load bootstrap independently.

Pull Specific Doctrine On Demand

When you need governance guidance mid-step (e.g., how to structure tests, which review criteria apply), pull the specific tactic or directive by ID rather than re-loading the full context:

python
from charter.activation.doctrine_service_builder import build_activation_aware_doctrine_service

service = build_activation_aware_doctrine_service(project_root)

# Pull a specific tactic when it becomes relevant
tactic = service.tactics.get("tdd-red-green-refactor")

# Pull a specific directive
directive = service.directives.get("TEST_FIRST")

The action index (actions/<action>/index.yaml) tells you which doctrine artifacts are relevant to the current step. Load the index to discover what to pull:

python
from charter.offering.missions.action_index import load_action_index

index = load_action_index(missions_root, "software-dev", "implement")
# index.directives → ["TEST_FIRST", ...]
# index.tactics → ["tdd-red-green-refactor", ...]
# index.procedures → [...]
Anti-Pattern: Upfront Context Dump

Do NOT load all doctrine into context at session start. This wastes tokens and dilutes relevance. Instead:

  1. At init: Load agent profile + initialization declaration.
  2. At each step boundary: Call charter context --action <action>.
  3. When stuck or need guidance: Pull specific tactic/directive by ID.
  4. When reviewing: Pull review-scoped doctrine, not implement-scoped.

Step 1: Load Runtime Context

Before invoking the runtime, gather the current state.

Commands:

bash
# Check WP status for a mission
spec-kitty agent tasks status --mission <mission-slug>

# Check current context for an action
spec-kitty agent context resolve --action implement --mission <mission-slug> --json

What to look for:

  • Active mission slug and mission type
  • Current WP lane status (planned, claimed, in_progress, for_review, in_review, approved, done, blocked, canceled)
  • Whether there are WPs ready for implementation or review
  • Any blocked WPs that need attention first

Step 2: Run the Next Command

bash
# Run the next step
spec-kitty next --agent <agent> --mission <mission-slug> --json

# After completing a step successfully
spec-kitty next --agent <agent> --mission <mission-slug> --result success --json

# After a step failed
spec-kitty next --agent <agent> --mission <mission-slug> --result failed --json

# After a step was blocked
spec-kitty next --agent <agent> --mission <mission-slug> --result blocked --json

Note: --mission is the sole selector. The legacy --feature alias has been removed (#1060); passing --feature now exits with No such option.

The --result flag tells the runtime the outcome of the previous step. If omitted, spec-kitty next returns current state without advancing (query mode). It does not report success for the previous step.


Show full SKILL.md (797 more words)Show less

Step 3: Interpret the Result

See references/runtime-result-taxonomy.md for the complete taxonomy.

KindNext Action
stepRead and execute prompt_file (always non-empty and resolvable on disk)
decision_requiredAnswer with --answer and --decision-id
blockedRead reason + guard_failures, resolve blockers
terminalRun /spec-kitty.accept for final validation, then merge if acceptance passes

Always check guard_failures — this field may appear on any decision kind, not just blocked.

The kind="step" prompt-file contract is a hard runtime invariant (C1/C2). A kind="step" envelope MUST carry a prompt_file (or its consumer-side prompt_path alias) that is non-null, non-empty, and resolves on disk. If the runtime cannot produce an actionable step (no composed action, guard failure, blocked dependency, prompt build error, etc.), it returns kind="blocked" with a non-empty reason (and optional machine-readable code such as no_prompt_template). There is no third state: an agent loop should never observe a kind="step" decision with prompt_file == null.

Always check progress for completion. If progress.done_wps equals progress.total_wps but kind is not terminal, the mission is actually complete (known issue #335). The runtime may not detect completion when no prior run state exists. Treat this as terminal and run /spec-kitty.accept; if acceptance passes, run /spec-kitty.merge, then run mission review and the retrospective workflow.


Step 4: Handle decision_required

When the runtime needs input:

bash
# The decision includes question, options, and decision_id
# Answer using:
spec-kitty next --agent <agent> --mission <mission-slug> \
  --result success --answer "<choice>" --decision-id "<decision_id>" --json

If the agent cannot determine the answer, escalate to the user with the question and options.


Step 5: Handle Blocked States

See references/blocked-state-recovery.md for detailed recovery patterns.

Quick diagnostic:

bash
# Check WP status and dependency graph
spec-kitty agent tasks status --mission <mission-slug>

# Check specific WP dependencies
spec-kitty agent tasks list-dependents WP## --mission <mission-slug>

Common blockers:

BlockerRecovery
Missing artifacts (spec.md, plan.md)Run the planning workflow first
Upstream WP not doneImplement or review the upstream WP
Review feedback not addressedRe-implement, address feedback, move to for_review
Stale agent (WP in doing, no activity)Move WP to planned with --force
Circular dependenciesBreak cycle in WP frontmatter, re-run finalize-tasks

Step 6: The Agent Loop

The complete agent loop pattern:

bash
# 1. Start the loop
DECISION=$(spec-kitty next --agent claude --mission 042-mission --json)
KIND=$(echo "$DECISION" | jq -r '.kind')

# 2. Loop until terminal or unresolvable block
while [ "$KIND" = "step" ] || [ "$KIND" = "decision_required" ]; do

  # Workaround #335: check progress for completion even if kind != terminal
  DONE=$(echo "$DECISION" | jq -r '.progress.done_wps // 0')
  TOTAL=$(echo "$DECISION" | jq -r '.progress.total_wps // 0')
  if [ "$TOTAL" -gt 0 ] && [ "$DONE" -eq "$TOTAL" ]; then
    break  # Mission is actually complete
  fi

  if [ "$KIND" = "step" ]; then
    PROMPT=$(echo "$DECISION" | jq -r '.prompt_file')

    # Contract (C1/C2, post-#336 fix): kind=step always carries a
    # non-empty prompt_file resolvable on disk. If a prompt cannot be
    # resolved, the runtime emits kind=blocked with a populated reason.

    # Read and execute the prompt...
    RESULT="success"  # or "failed" or "blocked"
  elif [ "$KIND" = "decision_required" ]; then
    # Answer the question...
    RESULT="success"
  fi

  DECISION=$(spec-kitty next --agent claude --mission 042-mission --result "$RESULT" --json)
  KIND=$(echo "$DECISION" | jq -r '.kind')
done

# 3. Handle terminal state — canonical post-merge sequence
if [ "$KIND" = "terminal" ] || [ "$DONE" -eq "$TOTAL" ]; then
  # Run /spec-kitty.accept.
  # If acceptance passes, run /spec-kitty.merge.
  # After merge, follow the canonical post-merge sequence:
  #   a. Mission review: /spec-kitty-mission-review
  #   b. Author or verify retrospective:
  #      spec-kitty retrospect create --mission 042-mission  # if record absent
  #      OR verify: cat .kittify/missions/<mission_id>/retrospective.yaml
  #   c. Surface findings:
  #      spec-kitty retrospect summary                                   # read-only aggregation
  #      spec-kitty agent retrospect synthesize --mission 042-mission  # dry-run by default; --apply to mutate
  # Note: summary aggregates; synthesize applies proposals — neither authors records.
fi

The loop continues until:

  • terminal — mission complete, exit loop
  • query — read-only preview, no state mutation
  • blocked — cannot proceed without external resolution
  • decision_required — only if the agent cannot answer (escalate to user)

Important: Runtime Precedence Rules

  1. Always use spec-kitty next rather than manually sequencing phases
  2. Always pass --mission in multi-mission repositories
  3. Respect mission state machine transitions — do not skip steps
  4. Read the prompt_file — it contains the full context the agent needs
  5. Check guard_failures on every decision, not just blocked ones
  6. Reviews before implementations — the runtime prioritizes unblocking downstream work
  7. WP isolation — only modify the WP you were assigned, ignore other WPs

Known Issues

#335 — Completed missions return step instead of terminal. When spec-kitty next is called on a mission with all WPs done but no prior runtime run state, it creates a new run starting at discovery instead of recognizing the mission is complete. Workaround: Check progress.done_wps == progress.total_wps as a secondary completion signal.

#336 — fixed. prompt_file is always non-empty and resolvable on disk on kind: step decisions. When no prompt is available, the runtime now emits a structured kind: blocked decision with a non-empty reason (and optional machine-readable code such as no_prompt_template). Agent loops no longer need to defensively null-check prompt_file; a kind: step decision with a null prompt is a runtime bug.


Standalone Invocations (Outside Missions)

Not all governed work happens inside an active mission. When a user asks for help with a task that has no active spec-kitty next loop — a code review, a quick implementation, an ad-hoc analysis — you should still invoke Spec Kitty's governance layer with standalone dispatch.

Spec Kitty never spawns a parallel LLM call. You are the host; Spec Kitty routes, assembles governance context, and records the trail.

When to use standalone dispatch

If the user says anything like "use spec kitty to ...", "hey spec kitty ...", or "spec kitty <anything>", run standalone dispatch unless they are clearly asking for a full mission.

The governance injection loop
  1. Get context:

    bash
    spec-kitty dispatch "implement the login handler" --json
    spec-kitty dispatch "review WP05" --profile reviewer --json

    Response includes invocation_id, governance_context_text, and governance_context_available.

  2. Inject governance: Read governance_context_text and treat it as binding governance context for your task. Follow any directives and constraints it contains. If governance_context_available is false, note this to the user but proceed with the task.

  3. Execute: Do the work. Generate the code, analysis, or plan.

  4. Close the Op (mandatory — dispatch leaves it open):

    bash
    spec-kitty profile-invocation complete \
      --invocation-id <invocation_id> \
      --outcome <done|failed|abandoned>

    Use the real outcome: done for completed work, failed for work that did not succeed, abandoned for dropped work. Never leave an Op open deliberately — spec-kitty doctor ops reports and sweeps orphans.

Trail produced

Every standalone invocation writes a Tier 1 JSONL file to:

kitty-ops/<invocation_id>.jsonl

Viewable at any time with spec-kitty invocations list --json. No SaaS connection required.

For full CLI surface documentation, see src/charter/offering/skills/spec-kitty/SKILL.md.


References

  • references/runtime-result-taxonomy.md -- Decision kinds, output fields, and precedence rules
  • references/blocked-state-recovery.md -- 6 blocked state patterns with diagnosis and recovery

© spec-kitty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in src/charter/offering/skills/spec-kitty-runtime-next of spec-kitty/spec-kitty.

  • SKILL.md
  • references/blocked-state-recovery.md
  • references/runtime-result-taxonomy.md

Open the folder on GitHubat commit 4cabb90

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    Understand how Spec Kitty missions work: the 4 built-in mission types, how they define workflows via step contracts and action indices, how missions and work packages relate, how templates are…

    1.7k GitHub stars~4.3k tokensUpdated today
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  • Teach agents and external systems how to use spec-kitty orchestrator-api to drive workflows from outside the host CLI.

    1.7k GitHub stars~3k tokensUpdated today
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Questions about Spec Kitty Runtime Next

What does Spec Kitty Runtime Next do?

Drive the canonical spec-kitty next --mission <handle control loop for mission advancement. Spec Kitty Runtime Next is an agent skill from spec-kitty/spec-kitty. Drive the canonical spec-kitty next --mission <handle control loop for mission advancement.

When should I use Spec Kitty Runtime Next?

Spec Kitty Runtime Next fits situations like: development work in your project.

How do I install Spec Kitty Runtime Next in Claude Code?

Run `npx skills add spec-kitty/spec-kitty --skill spec-kitty-runtime-next -a claude-code`. Or copy the skill folder (src/charter/offering/skills/spec-kitty-runtime-next in spec-kitty/spec-kitty) into .claude/skills/spec-kitty-runtime-next in your project. Claude Code loads it when a task matches its description.

How do I install Spec Kitty Runtime Next in Codex?

Run `npx skills add spec-kitty/spec-kitty --skill spec-kitty-runtime-next -a codex`. Or copy the skill folder (src/charter/offering/skills/spec-kitty-runtime-next in spec-kitty/spec-kitty) into .agents/skills/spec-kitty-runtime-next in your project. Codex loads it when a task matches its description.

Can I use Spec Kitty Runtime Next in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add spec-kitty/spec-kitty --skill spec-kitty-runtime-next -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spec-kitty-runtime-next, .gemini/skills/spec-kitty-runtime-next, .github/skills/spec-kitty-runtime-next and .opencode/skills/spec-kitty-runtime-next in your project.

What does Spec Kitty Runtime Next need to run?

Going by SKILL.md and its folder, Spec Kitty Runtime Next needs the command-line tools its instructions call (jq). Our summary lists: Python 3.

Does Spec Kitty Runtime Next access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Spec Kitty Runtime Next safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Spec Kitty Runtime Next use?

Spec Kitty Runtime Next is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spec Kitty Runtime Next use?

About 5.2k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Spec Kitty Runtime Next?

Skills that share tags, products or a category with Spec Kitty Runtime Next: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spec Kitty Runtime Next?

spec-kitty (a GitHub organization) maintains it in spec-kitty/spec-kitty, which has 1,677 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 8, 2026.

Source: spec-kitty/spec-kitty on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.