Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure.
Install Tendril Debug Plan
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-plan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tendril-debug-plan .claude/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.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/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .claude/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-planType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tendril-debug-plan .agents/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .agents/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tendril-debug-plan .cursor/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .cursor/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Ivy-Interactive/Ivy-Tendril.git --path skills/tendril-debug-plan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tendril-debug-plan .gemini/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .gemini/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-planInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tendril-debug-plan .github/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .github/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Ivy-Interactive/Ivy-Tendril tendril-debug-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ivy-Interactive/Ivy-Tendril.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tendril-debug-plan .opencode/skills/tendril-debug-plan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tendril-debug-plan" agent skill from https://github.com/Ivy-Interactive/Ivy-Tendril/tree/development/skills/tendril-debug-plan into .opencode/skills/tendril-debug-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tendril-debug-plan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tendril-debug-plan- GitHub stars
- 200
- Token cost
- ~2.8k tokens
- SKILL.md length
- 918 words
- Files
- 4 (incl. references)
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure.
- Works in 4 steps: Gather Plan Artifacts → Locate and Analyze Session JSONL → Analyze the Checking/Verification Pipeline → …
- The user wants to investigate why a plan failed
- SKILL.md covers Invocation, What This Skill Does, Execution Steps and Key Tendril Files for…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tendril Debug Plan is an agent skill from Ivy-Interactive/Ivy-Tendril. Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure. Produces actionable bugfix and improvement recommendations. Use when the user wants to investigate why a plan failed, behaved unexpectedly, or to audit plan execution quality.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/common-failure-modes.md`, `references/jsonl-analysis.md` and `references/verification-pipeline.md`).
It sits in Development. The repository describes itself as: AI agents can now write 99% of the code. This changes what it means to be a developer. Our role shifts to knowing "what good looks like". To do that, we need completely new…
When your agent uses it
- The user wants to investigate why a plan failed
- Behaved unexpectedly
- Audit plan execution quality
Example prompts
- “/tendril-debug-plan”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Gather Plan Artifacts
- Locate and Analyze Session JSONL
- Analyze the Checking/Verification Pipeline
- Produce Recommendations Report
What it can do on your machine
Read from SKILL.md and the folder at commit 3a1a241. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).
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
Tendril Debug Plan loads about 2.8k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 918 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 918 words (~2,838 tokens).
“Debug and analyze Tendril plan executions end-to-end - from plan creation through checking/verification - and produce a set of concrete bugfix and improvement recommendations.”
- name
- tendril-debug-plan
Files
SKILL.md and 3 other files (references) in skills/tendril-debug-plan of Ivy-Interactive/Ivy-Tendril.
- SKILL.md
- references/common-failure-modes.md
- references/jsonl-analysis.md
- references/verification-pipeline.md
Open the folder on GitHubat commit 3a1a241
Compare with similar skills
Tendril Debug Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tendril Debug Plan this skillIvy-Interactive/Ivy-Tendril | 200 | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Typescript Advanced Types
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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Related
Categories
Questions about Tendril Debug Plan
What does Tendril Debug Plan do?
Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure. Tendril Debug Plan is an agent skill from Ivy-Interactive/Ivy-Tendril. Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure.
When should I use Tendril Debug Plan?
Tendril Debug Plan fits situations like: the user wants to investigate why a plan failed; behaved unexpectedly; audit plan execution quality.
How do I install Tendril Debug Plan in Claude Code?
Run `npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a claude-code`. Or copy the skill folder (skills/tendril-debug-plan in Ivy-Interactive/Ivy-Tendril) into .claude/skills/tendril-debug-plan in your project. Claude Code loads it when a task matches its description.
How do I install Tendril Debug Plan in Codex?
Run `npx skills add Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a codex`. Or copy the skill folder (skills/tendril-debug-plan in Ivy-Interactive/Ivy-Tendril) into .agents/skills/tendril-debug-plan in your project. Codex loads it when a task matches its description.
Can I use Tendril Debug Plan 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 Ivy-Interactive/Ivy-Tendril --skill tendril-debug-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tendril-debug-plan, .gemini/skills/tendril-debug-plan, .github/skills/tendril-debug-plan and .opencode/skills/tendril-debug-plan in your project.
What does Tendril Debug Plan need to run?
SKILL.md names no scripts, command-line tools or credentials: Tendril Debug Plan is instructions for the agent only.
Does Tendril Debug Plan 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 Tendril Debug Plan 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 Tendril Debug Plan use?
Tendril Debug Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Tendril Debug Plan use?
About 2.8k tokens (SKILL.md is roughly 11k 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 3.6k tokens, read only when the agent opens those files.
What are the alternatives to Tendril Debug Plan?
Skills that share tags, products or a category with Tendril Debug Plan: 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 Tendril Debug Plan?
Ivy-Interactive (a GitHub organization) maintains it in Ivy-Interactive/Ivy-Tendril, which has 200 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 15, 2026.
Source: Ivy-Interactive/Ivy-Tendril on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.