More Trees Automation
ComposioHQ/awesome-claude-skills
Automate More Trees tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
Full physical design flow — floorplan, placement, clock tree synthesis, routing, timing optimisation, power optimisation, area optimisation, and tape-out sign-off.
$ npx skills add hdl-tools/digital-chip-design-agents --skill physical-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents physical-design --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/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/pd/skills/physical-design .claude/skills/physical-design && 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 "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .claude/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-designType 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 hdl-tools/digital-chip-design-agents --skill physical-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents physical-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/pd/skills/physical-design .agents/skills/physical-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .agents/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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 hdl-tools/digital-chip-design-agents --skill physical-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents physical-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/pd/skills/physical-design .cursor/skills/physical-design && 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 "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .cursor/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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/hdl-tools/digital-chip-design-agents.git --path plugins/pd/skills/physical-design--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 hdl-tools/digital-chip-design-agents --skill physical-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents physical-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/pd/skills/physical-design .gemini/skills/physical-design && 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 "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .gemini/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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 hdl-tools/digital-chip-design-agents physical-designInstalls 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 hdl-tools/digital-chip-design-agents --skill physical-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/pd/skills/physical-design .github/skills/physical-design && 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 "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .github/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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 hdl-tools/digital-chip-design-agents --skill physical-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents physical-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/pd/skills/physical-design .opencode/skills/physical-design && 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 "physical-design" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/pd/skills/physical-design into .opencode/skills/physical-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "physical-design", 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.
physical-designFull physical design flow — floorplan, placement, clock tree synthesis, routing, timing optimisation, power optimisation, area optimisation, and tape-out sign-off.
Physical Design is an agent skill from hdl-tools/digital-chip-design-agents. Full physical design flow — floorplan, placement, clock tree synthesis, routing, timing optimisation, power optimisation, area optimisation, and tape-out sign-off. Use when implementing a gate-level netlist through to GDS-II, closing timing and power, or performing any individual PD stage analysis.
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Digital HDL Design Full-stack Agents. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38736b1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
makepython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Physical Design loads about 3.8k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 1,661 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated 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.
The full file from hdl-tools/digital-chip-design-agents at commit 38736b1, republished under its MIT licence (© hdl-tools). 1,661 words, ~3,754 tokens.
.claude/skills/physical-design/SKILL.md (or your agent's skills folder).digital-chip-design-agents:physical-design-orchestrator agent and pass
the full user request and any available context. Do not execute stages directly.physical-design-orchestrator mid-flow: do not spawn a
new agent. Treat this file as read-only — return the requested stage rules,
sign-off criteria, or loop-back guidance to the calling orchestrator.Spawning the orchestrator from within an active orchestrator run causes recursive delegation and must never happen.
Before executing or advising on any stage, read the following files if they exist:
memory/pd/knowledge.md — known failure patterns, successful tool flags, PDK quirks.
Incorporate its guidance into every stage decision. If absent, proceed without it.memory/pd/run_state.md — current run identity (run_id, design_name, pdk,
last_stage). Use this to resume correctly after interruption. If absent, a new run
is starting; the orchestrator will create this file before the first stage.This pre-run read applies whether this skill is loaded by a user or called by the orchestrator mid-flow. It ensures the fix database is consulted before any diagnosis step.
Guide the complete physical implementation flow from gate-level netlist to tape-out-ready GDS-II. Eight stages with explicit QoR gates and loop-back criteria enforced by the physical-design orchestrator.
make DESIGN_CONFIG=./designs/<platform>/<design>/config.mk) — full PD pipeline; executes sequentially (see sequential flow note below)openlane <config.json>) — sequential PD pipeline built on OpenROAD; (see sequential flow note below)klayout) — DRC, LVS, and GDS-II viewing/editing; used for signoff DRC in open-source flowsinnovus, dialect cadence) — floorplan through signoff; interactive and batch modesicc2_shell, dialect synopsys) — hierarchical PD with Fusion technologysiemens) — physical implementation for advanced nodesOpenROAD Flow Scripts (ORFS) and LibreLane execute the entire PD pipeline in a single invocation. Stages run sequentially without pausing for agent intervention. After the run completes (or fails mid-stage), the agent must read the per-stage log files to evaluate QoR and apply loop-back logic.
ORFS log layout:
logs/<platform>/<design>/
1_1_yosys.log # synthesis (Yosys)
2_1_floorplan.log # floorplan (OpenROAD)
3_1_place.log # global placement (OpenROAD)
3_4_resizer.log # resizer / timing-driven placement
4_1_cts.log # clock tree synthesis (OpenROAD)
5_1_route.log # global routing (OpenROAD)
5_3_fillcell.log # filler cell insertion
6_1_finishing.log # signoff: DRC (KLayout/Magic), LVS (Netgen), final STAInvocation: make DESIGN_CONFIG=./designs/<platform>/<design>/config.mk
Resume from stage: make do-<stage> (e.g. make do-3_2_place)
LibreLane (OpenLane 2) log layout:
runs/<design>/<run_tag>/logs/
synthesis/ # Yosys synthesis logs
floorplan/ # OpenROAD floorplan logs
placement/ # OpenROAD placement logs (global + detail)
cts/ # OpenROAD CTS logs
routing/ # OpenROAD global + detailed routing (DRT) logs
signoff/ # Magic/Netgen DRC+LVS, OpenSTA final timingInvocation: openlane <config.json> (or python3 -m openlane <config.json>)
Resume from step: openlane --from <step_name> <config.json>
Agent procedure after run:
## Stage: sections belowdesign_state.constraints.area.utilization_pct_target% (default: 75%) — leave margin for routing congestiondesign_state.constraints.power.ir_drop_pct_max% of VDD (default threshold: 10%)constraints.timing.wns_ns_target, default: 0)design_state.constraints.area.utilization_pct_max% (default: 85%); flag if exceededdesign_state.constraints.timing.skew_ps_max ps (default: 100 ps, or per SDC set_clock_uncertainty)design_state.constraints.timing.transition_ps_max ps, default: 200 ps)design_state.constraints.timing.fanout_max, default: 16–32)design_state.constraints.timing.skew_ps_max ps (default threshold: 150 ps)design_state.constraints.timing.insertion_delay_ps_max ps (default: 500 ps)design_state.constraints.timing.wns_ns_target (default: 0) all cornersdesign_state.constraints.timing.tns_ns_target (default: 0) all cornersdesign_state.constraints.power.power_mw budgetdesign_state.constraints.power.leakage_pct_max% of total at TT corner (default: 15%)design_state.constraints.power.ir_drop_pct_max% VDD across all domains (default: 5%)design_state.constraints.timing.wns_ns_target (default: 0)design_state.constraints.area.utilization_pct_target% (default: 75%); hard limit design_state.constraints.area.utilization_pct_max% (default: 85%)design_state.constraints.timing.wns_ns_target (default: 0)| Check | Criterion |
|---|---|
| Setup WNS | ≥ design_state.constraints.timing.wns_ns_target (default: 0) all corners |
| Setup TNS | = design_state.constraints.timing.tns_ns_target (default: 0) all corners |
| Hold WNS | ≥ design_state.constraints.timing.wns_ns_target (default: 0) all corners |
| DRC violations | = 0 |
| LVS errors | = 0 |
| Antenna violations | = 0 |
| IR drop | < design_state.constraints.power.ir_drop_pct_max% VDD (default: 5%) |
| Metal density | Within foundry window |
See plugins/meta/skills/pipeline-orchestration/SKILL.md §Constraints Schema for the authoritative schema and stage-entry validation rule.
Required at entry (floorplan) — hard-fail if missing:
constraints.clock.clk_mhz — target clock frequencyconstraints.area.area_um2 — die area budgetconstraints.power.power_mw — total power budgetconstraints.pvt_corners — at least one entry with non-null voltage_v and temp_cOptional (schema defaults apply when absent):
constraints.timing.wns_ns_target (default: 0) — WNS sign-off thresholdconstraints.timing.tns_ns_target (default: 0) — TNS sign-off thresholdconstraints.timing.skew_ps_max (default: 100) — CTS skew targetconstraints.timing.transition_ps_max (default: 200) — clock transition limitconstraints.timing.insertion_delay_ps_max (default: 500) — max clock insertion delayconstraints.timing.fanout_max (default: 32) — max clock buffer fanoutconstraints.area.utilization_pct_target (default: 75) — target core utilisation %constraints.area.utilization_pct_max (default: 85) — hard utilisation ceiling %constraints.power.leakage_pct_max (default: 15) — leakage as % of total powerconstraints.power.ir_drop_pct_max (default: 5) — IR drop limit as % of VDDWrite memory/pd/run_state.md as the first action before launching any tool:
run_id: pd_<YYYYMMDD>_<HHMMSS>
design_name: <design>
pdk: <pdk or unknown>
tool: <primary tool>
start_time: <ISO-8601>
last_stage: nullUpdate last_stage to the completed stage name only after each stage finishes successfully. This file allows wakeup-loop prompts
and resumed sessions to identify the correct run directory without relying on in-memory state.
After each stage completes (regardless of whether an orchestrator session is active),
upsert one JSON record in memory/pd/experiences.jsonl keyed by run_id — do not
append a second line for the same run. Write with the stages completed so far and
signoff_achieved: false; overwrite to true only when signoff passes.
Use run_id = pd_<YYYYMMDD>_<HHMMSS> (set once at flow start; reuse on each
stage update). Every JSON record written to experiences.jsonl must include a top-level
"run_id" field (string) inside the record itself — upsert behavior is keyed by this field.
Do not rely on external metadata; the "run_id" property must be present in the JSON object.
Records should be written with stages completed and signoff_achieved: false, and only
overwritten to true when signoff passes. Create the file and parent directories if they
do not exist.
If mcp__plugin_ecc_memory__add_observations is available in this session, also emit
each new fix as an observation to entity chip-design-pd-fixes after writing to
experiences.jsonl. Skip this step silently if the tool is absent — the JSONL file
is the canonical record.
© hdl-tools, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/pd/skills/physical-design of hdl-tools/digital-chip-design-agents.
Open the folder on GitHubat commit 38736b1
Physical Design 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 |
|---|---|---|---|---|---|---|
| Physical Design this skillhdl-tools/digital-chip-design-agents | 213 | — | ~3.8k | Automated safety check: Notes | MIT | |
| More Trees AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~742 | Automated safety check: Pass | None | |
| Physical Addressthedaviddias/Front-End-Checklist | 74k | — | ~574 | Automated safety check: Pass | MIT | |
| Pierre Trees File Treepierrecomputer/pierre | 6.3k | — | ~473 | Automated safety check: Pass | Apache-2.0 | |
| Tree Ring Memorysickn33/agentic-awesome-skills | 47k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Esign Field Placementaffaan-m/ECC | 276k | — | ~2.6k | Automated safety check: Pass | MIT |
ComposioHQ/awesome-claude-skills
Automate More Trees tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing local business websites, e-commerce sites, or any site where a physical presence affects trust or local search visibility.
pierrecomputer/pierre
Use when an app uses @pierre/trees to render or control a file tree, including React, vanilla JavaScript, SSR, web components, selection, search, rename, drag…
sickn33/agentic-awesome-skills
Use Tree Ring Memory for local-first AI-agent memory lifecycle work: recall, evidence, audit, forgetting, and consolidation without transcript dumping.
affaan-m/ECC
Deterministic method for placing signature, date, and text fields in a web e-signature composer through a browser automation session, using a fixed signature page, numeric Location panel coordinates…
wshobson/agents
Builds attack trees that map how an attacker could reach a goal, with AND and OR nodes and cost, time, skill and detection ratings, to find defense gaps.
hdl-tools/digital-chip-design-agents
Microarchitecture exploration, PPA estimation, risk assessment, and architecture sign-off for digital chip design.
hdl-tools/digital-chip-design-agents
Compiler toolchain development for custom processor ISAs — LLVM/GCC backend, assembler, linker scripts, runtime libraries, and regression validation.
hdl-tools/digital-chip-design-agents
Design for Test — scan architecture planning, scan insertion, ATPG pattern generation, MBIST for embedded memories, and JTAG boundary scan.
hdl-tools/digital-chip-design-agents
Embedded firmware and device drivers — BSP development, peripheral driver implementation (UART, SPI, I2C, GPIO, DMA, Timer), RTOS integration (FreeRTOS, Zephyr), and system validation.
hdl-tools/digital-chip-design-agents
Formal property verification (FPV) and logical equivalence checking (LEC).
hdl-tools/digital-chip-design-agents
FPGA prototyping — ASIC-to-FPGA RTL adaptation, multi-FPGA partitioning, synthesis and timing closure on FPGA, hardware bring-up, and software validation on the prototype.
Full physical design flow — floorplan, placement, clock tree synthesis, routing, timing optimisation, power optimisation, area optimisation, and tape-out sign-off. Physical Design is an agent skill from hdl-tools/digital-chip-design-agents. Full physical design flow — floorplan, placement, clock tree synthesis, routing, timing optimisation, power optimisation, area optimisation, and tape-out sign-off.
Physical Design fits situations like: implementing a gate-level netlist through to GDS-II; closing timing and power; performing any individual PD stage analysis.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill physical-design -a claude-code`. Or copy the skill folder (plugins/pd/skills/physical-design in hdl-tools/digital-chip-design-agents) into .claude/skills/physical-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill physical-design -a codex`. Or copy the skill folder (plugins/pd/skills/physical-design in hdl-tools/digital-chip-design-agents) into .agents/skills/physical-design in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hdl-tools/digital-chip-design-agents --skill physical-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/physical-design, .gemini/skills/physical-design, .github/skills/physical-design and .opencode/skills/physical-design in your project.
Going by SKILL.md and its folder, Physical Design needs the command-line tools its instructions call (make and python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Physical Design is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Physical Design: More Trees Automation (ComposioHQ/awesome-claude-skills, 77k stars), Physical Address (thedaviddias/Front-End-Checklist, 74k stars), Pierre Trees File Tree (pierrecomputer/pierre, 6.3k stars) and Tree Ring Memory (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hdl-tools (a GitHub organization) maintains it in hdl-tools/digital-chip-design-agents, which has 213 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 3, 2026.
Source: hdl-tools/digital-chip-design-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.