using-plan
Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add JanYork/llm-wiki-cli --skill using-plan
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
47
64/100 Quality · 75/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
47 GitHub stars
Repo activity
47 stars, 4 forks
Maintenance
Pushed today
License
Apache-2.0
Install
npx skills add JanYork/llm-wiki-cli --skill using-plan
Install safety
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 47 GitHub stars
- Stars/forks activity: 47 stars, 4 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add JanYork/llm-wiki-cli --skill using-plan
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 67/100
- Audit
- 79/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add JanYork/llm-wiki-cli --skill using-planDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Alternative
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent safety v2
55/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- High-risk permission hints: Shell or command execution
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install janyork-using-planAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20using-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20using-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/janyork-using-plan/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use using-plan in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20using-plan%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/janyork-using-plan/install
Install command: npx skills add JanYork/llm-wiki-cli --skill using-plan
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/janyork-using-plan/install
LLM text format
/api/skills/janyork-using-plan/install?format=text
Find alternatives
/api/skills/search?q=using-plan&limit=3
Agent prompt
Use using-plan for this task. Review https://www.openagentskill.com/api/skills/janyork-using-plan/install, then install with: npx skills add JanYork/llm-wiki-cli --skill using-planRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/janyork-using-plan
LLM text
/api/registry/manifest/janyork-using-plan?format=text
Install alias
/api/registry/install/janyork-using-plan
Recommend
/api/registry/recommend?task=Use%20using-plan%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 79/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Coding agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 64/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK47 GitHub stars
Stars/forks activity
CHECK47 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 47 GitHub stars
- Stars/forks activity: 47 stars, 4 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Overview
--- name: using-plan description: Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC. ---
# Using LWC Plan
First run `lwc config show`. Continue only when `plan.setting` is `enabled`. A Skill trigger is not consent to enable Plan: when disabled, do not run Plan commands; explain that the user can opt in with `lwc config set --plan enabled`. While Plan is enabled, the lifecycle Hook includes the active count and bounded `plan.tracking` for the most recently updated active Plan: progress, current step, next step, revision, and a `plan brief` command.
Use Plan only for the current coarse execution plan. It is independent from Todo and must never be converted to or from a Todo automatically.
- Create one objective, explicit done criteria, constraints, and ordered coarse steps. - Resume with `lwc plan brief PLAN_ID`; it is bounded and contains no hidden reasoning. - Treat Hook `plan.tracking` as a continuity cue. Follow its current step and planned next step, but call its `brief` command before any mutation. - Before mutation, inspect the current revision and pass `--if-revision`. - `advance` completes the focal step with a result and explicitly selects the next pending step. - `block` records a concrete blocker. `revise` requires a reason and replaces only unfinished work. - Complete only after all steps are terminal, evidence is supplied, and done criteria were checked. - Use project/global for exact reads and writes. Use `--scope all` only for current/list/search. - On a revision or request conflict, reload and reconcile; never overwrite blindly. - Do not use `--changeset` with Plan commands.
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Aug 23, 2026
- Published
- Aug 22, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 82/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for using-plan, ready for a manual X post.
using-plan: Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a dur... 47 stars https://www.openagentskill.com/skills/janyork-using-plan?ref=x
Optional reply with install command
Listing + install path for using-plan: https://www.openagentskill.com/skills/janyork-using-plan?ref=x Install: npx skills add JanYork/llm-wiki-cli --skill using-plan
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- JanYork
- Source
- JanYork/llm-wiki-cli
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to JanYork but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/janyork-using-plan)
[](https://www.openagentskill.com/skills/janyork-using-plan)
[](https://www.openagentskill.com/skills/janyork-using-plan/audit)
[](https://www.openagentskill.com/skills/janyork-using-plan)Author
JanYork
@janyork
Tags
Platform fit
Health signals
- GitHub stars
- 47
- Quality score
- 35/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption47 GitHub starsCHECK
- Stars/forks activity47 stars, 4 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surfaceINFO
Related skills
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsGrill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
164.7K StarsTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K StarsTo Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
176.7K Stars